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ORCIDBiao Huang 0001
Person information
- affiliation: University of Alberta, Department of Chemical and Materials Engineering, Edmonton, AB, Canada
Other persons with the same name
- Biao Huang
- Biao Huang 0002 — Chongqing University of Arts and Sciences, China
- Biao Huang 0003 — State Radio Monitoring Center, Beijing, China
- Biao Huang 0004 — Nanjing University of Posts and Telecommunications, Jiangsu Key Lab of Big Data and Security and Intelligent Processing, China (and 2 more)
- Biao Huang 0005
![[0009-0003-8838-6816]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0003-8838-6816")
— Shanghai Jiao Tong University, School of Biomedical Engineering, China - Biao Huang 0006 — Southwest University of Science and Technology, China
- Biao Huang 0007 — BGI-Wuhan Clinical Laboratories, China
- Biao Huang 0008 — Guangdong Academy of Medical Sciences, Guangzhou, China
- Biao Huang 0009 — Jiangxi Normal University, College of Physics, Communication and Electrons, Nanchang, China
- Biao Huang 0010 — Xidian University, School of Mathematics and Statistics, Xi'an, China
- Biao Huang 0011 — Beijing Institute of Technology, School of Mechanical Engineering, China
- Biao Huang 0012 — Changchun University, College of Cyber Security, China
- Biao Huang 0013 — Communication University of China, State Key Laboratory of Media Convergence and Communication, Beijing, China
- Biao Huang 0014 — Chongqing Yuxiang Double Line Expressway Co., Ltd., China
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2020 – today
- 2025
[j266]Om Prakash, Biao Huang:
Real-time update of data-driven reduced and full order models with applications. Comput. Chem. Eng. 194: 108923 (2025)- [j265]Pengyu Song, Jie Wang, Chunhui Zhao, Biao Huang:
From Static and Dynamic Perspectives: A Survey on Historical Data Benchmarks of Control Performance Monitoring. IEEE CAA J. Autom. Sinica 12(2): 300-316 (2025) - [j264]Zhichao Pan, Siyu Liu, Biao Huang, Fei Liu:
Zonotopic set-membership state estimation for nonlinear systems based on the deep Koopman operator. Neurocomputing 618: 129004 (2025) - [j263]Huiping Liang, Junyao Xie, Biao Huang, Yonggang Li, Bei Sun, Chunhua Yang:
A novel sim2real reinforcement learning algorithm for process control. Reliab. Eng. Syst. Saf. 254: 110639 (2025) - [j262]Huimin Zhang, Ronghu Chi, Biao Huang:
Data-Driven Internal Model Learning Control for Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 36(1): 718-728 (2025) - 2024
- [j261]Junyao Xie, Biao Huang:
Back-and-forth nudging moving horizon estimation for discrete-time linear systems. Autom. 165: 111691 (2024) - [j260]Vamsi Krishna Puli, Ranjith Chiplunkar, Biao Huang:
Physics-informed probabilistic slow feature analysis. Autom. 169: 111851 (2024) - [j259]Ruimin Xie, Yuxiang Liu, Xiwen He, Nabil Magbool Jan, Huaping Wang, Kuangrong Hao, Biao Huang:
Quality-driven Gaussian mixture variational probabilistic network for soft sensor application in PET/PA6 polymerization process. Comput. Chem. Eng. 181: 108543 (2024) - [j258]Amirreza Memarian, Seshu Kumar Damarla, Alireza Memarian, Biao Huang:
Detection of poor controller tuning with Gramian Angular Field (GAF) and StackAutoencoder (SAE). Comput. Chem. Eng. 185: 108652 (2024) - [j257]Jansen Fajar Soesanto, Bart Maciszewski, Leyli Mirmontazeri, Sabrina Romero, Mike Michonski, Andrew C. Milne, Biao Huang:
Digital twin and control of an industrial-scale bitumen extraction process. Comput. Chem. Eng. 185: 108671 (2024) - [j256]Junyao Xie, Biao Huang, Stevan Dubljevic:
Moving horizon estimation for pipeline leak detection, localization, and constrained size estimation. Comput. Chem. Eng. 188: 108777 (2024) - [j255]Ke Li, Xiaojie Li, Xunyuan Yin, Shunyi Zhao, Biao Huang, Fei Liu:
Fast Bayesian filtering for wastewater treatment plants with inaccurate process noise statistics. Comput. Chem. Eng. 189: 108811 (2024) - [j254]Yitao Yan, Jie Bao, Biao Huang:
An Approach to Data-Based Linear Quadratic Optimal Control. IEEE Control. Syst. Lett. 8: 1120-1125 (2024) - [j253]Oguzhan Dogru, Junyao Xie, Om Prakash, Ranjith Chiplunkar, Jansen Fajar Soesanto, Hongtian Chen, Kirubakaran Velswamy, Fadi Ibrahim, Biao Huang:
Reinforcement Learning in Process Industries: Review and Perspective. IEEE CAA J. Autom. Sinica 11(2): 283-300 (2024) - [j252]Ke Li, Shunyi Zhao, Biao Huang, Fei Liu:
Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation. IEEE CAA J. Autom. Sinica 11(5): 1239-1249 (2024) - [j251]Ronghu Chi, Na Lin, Biao Huang, Zhongsheng Hou:
Performance-oriented design and analysis for direct data-driven control of multi-agent systems. Inf. Sci. 666: 120419 (2024) - [j250]Yitao Yan, Jie Bao, Biao Huang:
On Approximation of System Behavior From Large Noisy Data Using Statistical Properties of Measurement Noise. IEEE Trans. Autom. Control. 69(4): 2414-2421 (2024) - [j249]Yitao Yan, Jie Bao, Biao Huang:
Distributed Data-Driven Predictive Control via Dissipative Behavior Synthesis. IEEE Trans. Autom. Control. 69(5): 2899-2914 (2024) - [j248]Hongtian Chen, Oguzhan Dogru, Santhosh Kumar Varanasi, Xunyuan Yin, Biao Huang:
Distributed Process Monitoring for Multiagent Systems Through Cognitive Learning. IEEE Trans. Cogn. Dev. Syst. 16(1): 8-19 (2024) - [j247]Wanke Yu, Chunhui Zhao, Biao Huang, Min Xie:
An Unsupervised Fault Detection and Diagnosis With Distribution Dissimilarity and Lasso Penalty. IEEE Trans. Control. Syst. Technol. 32(3): 767-779 (2024) - [j246]Ronghu Chi, Huaying Li, Na Lin, Biao Huang:
Data-Driven Indirect Iterative Learning Control. IEEE Trans. Cybern. 54(3): 1650-1660 (2024) - [j245]Feng Qian, Hong Qiao, Biao Huang, Yang Tang, David Bogle, Aibing Yu:
Guest Editorial Special Issue on Industrial Metaverse for Smart Manufacturing. IEEE Trans. Cybern. 54(7): 3850-3851 (2024) - [j244]Ronghu Chi, Wenzhi Cui, Na Lin, Zhongsheng Hou, Biao Huang:
Sampled-Data Model-Free Adaptive Control for Nonlinear Continuous-Time Systems. IEEE Trans. Cybern. 54(8): 4775-4788 (2024) - [j243]Ronghu Chi, Huimin Zhang, Huaying Li, Biao Huang, Zhongsheng Hou:
Data-Driven Dynamic Internal Model Control. IEEE Trans. Cybern. 54(9): 5347-5359 (2024) - [j242]Xiangrui Zhang, Chunyue Song, Biao Huang, Jun Zhao:
Bayesian-Based Causal Structure Inference With a Domain Knowledge Prior for Stable and Interpretable Soft Sensing. IEEE Trans. Cybern. 54(10): 6081-6094 (2024) - [j241]Zhiqing Liu, Ronghu Chi, Yang Liu, Biao Huang:
Data-Driven Robust Finite-Iteration Learning Control for MIMO Nonrepetitive Uncertain Systems. IEEE Trans. Cybern. 54(11): 6307-6318 (2024) - [j240]Vamsi Krishna Puli, Ranjith Chiplunkar, Biao Huang:
Sparse Robust Dynamic Feature Extraction Using Bayesian Inference. IEEE Trans. Ind. Electron. 71(6): 6201-6209 (2024) - [j239]Wanke Yu, Chunhui Zhao, Biao Huang, Min Xie:
Intrinsic Causality Embedded Concurrent Quality and Process Monitoring Strategy. IEEE Trans. Ind. Electron. 71(11): 15111-15121 (2024) - [j238]Oguzhan Dogru, Ranjith Chiplunkar, Biao Huang:
Skew Filtering for Online State Estimation and Control. IEEE Trans. Ind. Informatics 20(2): 1508-1515 (2024) - [j237]Wenxin Sun, Weili Xiong, Hongtian Chen, Ranjith Chiplunkar, Biao Huang:
A Novel CVAE-Based Sequential Monte Carlo Framework for Dynamic Soft Sensor Applications. IEEE Trans. Ind. Informatics 20(3): 3789-3800 (2024) - [j236]Hongtian Chen, Hao Luo, Biao Huang, Bin Jiang, Okyay Kaynak:
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives. IEEE Trans. Neural Networks Learn. Syst. 35(3): 2969-2983 (2024) - [j235]Pengyu Song, Chunhui Zhao, Biao Huang, Jinliang Ding:
Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 35(3): 2997-3011 (2024) - [j234]Hongtian Chen, Zhigang Liu, Cesare Alippi, Biao Huang, Derong Liu:
Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6166-6179 (2024) - [j233]Ronghu Chi, Zhiqing Liu, Na Lin, Zhongsheng Hou, Biao Huang:
Data-Driven Finite-Iteration Learning Control. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5296-5306 (2024) - [j232]Na Lin, Ronghu Chi, Biao Huang:
Double-Layered Iterative Learning Control for Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(10): 6033-6042 (2024) - [c43]Shuangyu Han, Yitao Yan, Jie Bao, Biao Huang:
Big Data-driven Predictive Control Using Multi-view Clustering. ACC 2024: 5100-5105 - [c42]Shuang Gao, Xiaoli Luan, Biao Huang, Shunyi Zhao, Haiying Wan, Fei Liu:
Suboptimal Bayesian Filters for Markov Jump Linear Systems with Unknown Noise Covariance. ICCA 2024: 912-917 - [c41]Yitao Yan, Jie Bao, Biao Huang:
Approximating the System Behavior with Input Uncertainty Using Big Data. ICCA 2024: 924-929 - [i14]Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim, Aditya Tulsyan, Faraz Amjad, Kai Wang, Benoît Chachuat, Jong Min Lee, Biao Huang, R. Bhushan Gopaluni:
Machine learning for industrial sensing and control: A survey and practical perspective. CoRR abs/2401.13836 (2024) - [i13]Runze Lin, Junghui Chen, Lei Xie, Hongye Su, Biao Huang:
Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives. CoRR abs/2404.00247 (2024) - 2023
- [j231]Rui Wang, Kuangrong Hao, Biao Huang, Xiuli Zhu:
Adaptive niching particle swarm optimization with local search for multimodal optimization. Appl. Soft Comput. 133: 109923 (2023) - [j230]Hongtian Chen, Zhongyan Liu, Biao Huang:
Data-driven fault detection for Lipschitz nonlinear systems: From open to closed-loop systems. Autom. 155: 111161 (2023) - [j229]Qie Liu, Biao Huang, Yi Chai, Wenbo Li:
Topology identification of sparse network: A stochastic variational Bayesian approach. Autom. 155: 111173 (2023) - [j228]Hongtian Chen, Hao Luo, Biao Huang, Bin Jiang, Okyay Kaynak:
Data-driven designs of observers and controllers via solving model matching problems. Autom. 156: 111196 (2023) - [j227]Zhichao Pan, Shunyi Zhao, Biao Huang, Fei Liu:
Confidence set-membership FIR filter for discrete time-variant systems. Autom. 157: 111231 (2023) - [j226]Junyao Xie, Oguzhan Dogru, Biao Huang, Chris Godwaldt, Brett Willms:
Reinforcement learning for soft sensor design through autonomous cross-domain data selection. Comput. Chem. Eng. 173: 108209 (2023) - [j225]Na Lin, Ronghu Chi, Biao Huang:
Data-driven set-point control for nonlinear nonaffine systems. Inf. Sci. 625: 237-254 (2023) - [j224]Pengyu Song, Chunhui Zhao, Biao Huang:
MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults. Neural Networks 161: 397-417 (2023) - [j223]Ronghu Chi, Huaying Li, Dong Shen, Zhongsheng Hou, Biao Huang:
Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates. IEEE Trans. Autom. Control. 68(3): 1600-1613 (2023) - [j222]Yue Cao, Nabil Magbool Jan, Biao Huang, Yalin Wang, Zhuofu Pan, Weihua Gui:
No-Delay Multimodal Process Monitoring Using Kullback-Leibler Divergence-Based Statistics in Probabilistic Mixture Models. IEEE Trans Autom. Sci. Eng. 20(1): 167-178 (2023) - [j221]Vamsi Krishna Puli, Biao Huang:
Variational Bayesian Approach to Nonstationary and Oscillatory Slow Feature Analysis With Applications in Soft Sensing and Process Monitoring. IEEE Trans. Control. Syst. Technol. 31(4): 1708-1719 (2023) - [j220]Hongtian Chen, Biao Huang:
Fault-Tolerant Soft Sensors for Dynamic Systems. IEEE Trans. Control. Syst. Technol. 31(6): 2805-2818 (2023) - [j219]Huaying Li, Ronghu Chi, Zhongsheng Hou, Biao Huang:
Double Dynamic Linearization-Based Higher Order Indirect Adaptive Iterative Learning Control. IEEE Trans. Cybern. 53(6): 3506-3517 (2023) - [j218]Wentao Bai, Fan Guo, Lei Chen, Kuangrong Hao, Biao Huang:
Variational Bayesian Inference for Robust Identification of PWARX Systems With Time-Varying Time-Delays. IEEE Trans. Cybern. 53(6): 3613-3623 (2023) - [j217]Hongtian Chen, Linlin Li, Chao Shang, Biao Huang:
Fault Detection for Nonlinear Dynamic Systems With Consideration of Modeling Errors: A Data-Driven Approach. IEEE Trans. Cybern. 53(7): 4259-4269 (2023) - [j216]Qingyang Dai, Chunhui Zhao, Biao Huang:
Incremental Variational Bayesian Gaussian Mixture Model With Decremental Optimization for Distribution Accommodation and Fine-Scale Adaptive Process Monitoring. IEEE Trans. Cybern. 53(8): 5094-5107 (2023) - [j215]Shunyi Zhao, Ke Li, Choon Ki Ahn, Biao Huang, Fei Liu:
Tuning-Free Bayesian Estimation Algorithms for Faulty Sensor Signals in State-Space. IEEE Trans. Ind. Electron. 70(1): 921-929 (2023) - [j214]Wanke Yu, Chunhui Zhao, Biao Huang, Min Wu:
A Robust Dissimilarity Distribution Analytics With Laplace Distribution for Incipient Fault Detection. IEEE Trans. Ind. Electron. 70(12): 12752-12761 (2023) - [j213]Chao Jiang, Yusheng Lu, Weimin Zhong, Biao Huang, Dayu Tan, Wenjiang Song, Feng Qian:
Deep Bayesian Slow Feature Extraction With Application to Industrial Inferential Modeling. IEEE Trans. Ind. Informatics 19(1): 40-51 (2023) - [j212]Atefeh Daemi, R. Bhushan Gopaluni, Biao Huang:
Process Monitoring Using Domain-Adversarial Probabilistic Principal Component Analysis: A Transfer Learning Framework. IEEE Trans. Ind. Informatics 19(2): 1436-1444 (2023) - [j211]Yan Qin, Chau Yuen, Xunyuan Yin, Biao Huang:
A Transferable Multistage Model With Cycling Discrepancy Learning for Lithium-Ion Battery State of Health Estimation. IEEE Trans. Ind. Informatics 19(2): 1933-1946 (2023) - [j210]Jinxi Zhang, Fan Guo, Kuangrong Hao, Biao Huang, Lei Chen:
Identification of Errors-in-Variable System With Heteroscedastic Noise and Partially Known Input Using Variational Bayesian. IEEE Trans. Ind. Informatics 19(10): 10014-10023 (2023) - [j209]Xiuli Zhu, Seshu Kumar Damarla, Kuangrong Hao, Biao Huang, Hongtian Chen, Yicun Hua:
ConvLSTM and Self-Attention Aided Canonical Correlation Analysis for Multioutput Soft Sensor Modeling. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j208]Yu Hui, Ronghu Chi, Biao Huang, Zhongsheng Hou:
Data-Driven Adaptive Iterative Learning Bipartite Consensus for Heterogeneous Nonlinear Cooperation-Antagonism Networks. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8262-8270 (2023) - [j207]Na Lin, Huaying Li, Ronghu Chi, Zhongsheng Hou, Biao Huang:
Data-Driven Virtual Reference Set-Point Learning of PD Control and Applications to Permanent Magnet Linear Motors. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4142-4154 (2023) - [j206]Ronghu Chi, Xiaolin Guo, Na Lin, Biao Huang:
Dynamic Linearization and Extended State Observer-Based Data-Driven Adaptive Control. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 6805-6814 (2023) - [c40]Zhichao Pan, Biao Huang, Fei Liu:
A Koopman Operator-Based Finite Impulse Response Filter for Nonlinear Systems. CDC 2023: 2159-2165 - [c39]Junyao Xie, Biao Huang:
Moving Horizon Estimation for Discrete-Time Linear Time-Invariant Systems Using Transfer Learning. CDC 2023: 3220-3225 - [i12]Yitao Yan, Jie Bao, Biao Huang:
Distributed Data-driven Predictive Control via Dissipative Behavior Synthesis. CoRR abs/2303.00251 (2023) - [i11]Xiuli Zhu, Seshu Kumar Damarla, Biao Huang:
Estimation of minimum miscibility pressure (MMP) in impure/pure N2 based enhanced oil recovery process: A comparative study of statistical and machine learning algorithms. CoRR abs/2304.07617 (2023) - [i10]Zhiyinan Huang, Jinfeng Liu, Biao Huang:
Robust MPC with Zone Tracking. CoRR abs/2305.11385 (2023) - [i9]Runze Lin, Yangyang Luo, Xialai Wu, Junghui Chen, Biao Huang, Lei Xie, Hongye Su:
Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control. CoRR abs/2308.02765 (2023) - 2022
- [j205]Wanke Yu, Min Wu, Biao Huang, Chengda Lu:
A generalized probabilistic monitoring model with both random and sequential data. Autom. 144: 110468 (2022) - [j204]Santhosh Kumar Varanasi, Atefeh Daemi, Biao Huang, Graham Slot, Primo Majoko:
Sparsity constrained wavelet neural networks for robust soft sensor design with application to the industrial KIVCET unit. Comput. Chem. Eng. 159: 107695 (2022) - [j203]Oguzhan Dogru, Kirubakaran Velswamy, Fadi Ibrahim, Yuqi Wu, Arun Senthil Sundaramoorthy, Biao Huang, Shu Xu, Mark Nixon, Noel Bell:
Reinforcement learning approach to autonomous PID tuning. Comput. Chem. Eng. 161: 107760 (2022) - [j202]Kiran Raviprakash, Biao Huang, Vinay Prasad:
A hybrid modelling approach to model process dynamics by the discovery of a system of partial differential equations. Comput. Chem. Eng. 164: 107862 (2022) - [j201]Pengyu Song, Chunhui Zhao, Biao Huang:
SFNet: A slow feature extraction network for parallel linear and nonlinear dynamic process monitoring. Neurocomputing 488: 359-380 (2022) - [j200]Huimin Zhang, Ronghu Chi, Zhongsheng Hou, Biao Huang:
Quantisation compensated data-driven iterative learning control for nonlinear systems. Int. J. Syst. Sci. 53(2): 275-290 (2022) - [j199]Qingchao Jiang, Shutian Chen, Xuefeng Yan, Manabu Kano, Biao Huang:
Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes. IEEE Trans Autom. Sci. Eng. 19(3): 1913-1923 (2022) - [j198]Arun Senthil Sundaramoorthy, Santhosh Kumar Varanasi, Biao Huang, Yanjun Ma, Haitao Zhang, Dian Wang:
Sparse Inverse Covariance Estimation for Causal Inference in Process Data Analytics. IEEE Trans. Control. Syst. Technol. 30(3): 1268-1280 (2022) - [j197]Ronghu Chi, Yu Hui, Biao Huang, Zhongsheng Hou, Xuhui Bu:
Spatial Linear Dynamic Relationship of Strongly Connected Multiagent Systems and Adaptive Learning Control for Different Formations. IEEE Trans. Cybern. 52(1): 531-543 (2022) - [j196]Ronghu Chi, Huimin Zhang, Biao Huang, Zhongsheng Hou:
Quantitative Data-Driven Adaptive Iterative Learning Control: From Trajectory Tracking to Point-to-Point Tracking. IEEE Trans. Cybern. 52(6): 4859-4873 (2022) - [j195]Wanke Yu, Chunhui Zhao, Biao Huang:
MoniNet With Concurrent Analytics of Temporal and Spatial Information for Fault Detection in Industrial Processes. IEEE Trans. Cybern. 52(8): 8340-8351 (2022) - [j194]Na Lin, Ronghu Chi, Biao Huang:
Event-Triggered ILC for Optimal Consensus at Specified Data Points of Heterogeneous Networked Agents With Switching Topologies. IEEE Trans. Cybern. 52(9): 8951-8961 (2022) - [j193]Hongtian Chen, Zhiwen Chen, Zheng Chai, Bin Jiang, Biao Huang:
A Single-Side Neural Network-Aided Canonical Correlation Analysis With Applications to Fault Diagnosis. IEEE Trans. Cybern. 52(9): 9454-9466 (2022) - [j192]Zheng Chai, Chunhui Zhao, Biao Huang:
Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies. IEEE Trans. Cybern. 52(9): 9784-9796 (2022) - [j191]Zheng Chai, Chunhui Zhao, Biao Huang:
Variational Progressive-Transfer Network for Soft Sensing of Multirate Industrial Processes. IEEE Trans. Cybern. 52(12): 12882-12892 (2022) - [j190]Yousef Salehi, Biao Huang:
Offline and Online Parameter Learning for Switching Multirate Processes With Varying Delays and Integrated Measurements. IEEE Trans. Ind. Electron. 69(7): 7213-7222 (2022) - [j189]Oguzhan Dogru, Ranjith Chiplunkar, Biao Huang:
Reinforcement Learning With Constrained Uncertain Reward Function Through Particle Filtering. IEEE Trans. Ind. Electron. 69(7): 7491-7499 (2022) - [j188]Chen Xu, Shunyi Zhao, Yanjun Ma, Biao Huang, Fei Liu, Xiaoli Luan:
Sensor Fault Estimation in a Probabilistic Framework for Industrial Processes and its Applications. IEEE Trans. Ind. Informatics 18(1): 387-396 (2022) - [j187]Xiuli Zhu, Seshu Kumar Damarla, Kuangrong Hao, Biao Huang:
Parallel Interaction Spatiotemporal Constrained Variational Autoencoder for Soft Sensor Modeling. IEEE Trans. Ind. Informatics 18(8): 5190-5198 (2022) - [j186]Yousef Salehi, Biao Huang:
Robust Variational Bayesian-Based Soft Sensor Model for LPV Processes With Delayed and Integrated Output Measurements. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j185]Pengyu Song, Chunhui Zhao, Biao Huang, Min Wu:
Sparse and Time-Varying Predictive Relation Extraction for Root Cause Quantification of Nonstationary Process Faults. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j184]Jingyi Wang, Yousef Alipouri, Biao Huang:
Multirate Sensor Fusion in the Presence of Irregular Measurements and Time-Varying Time Delays Using Synchronized, Neural, Extended Kalman Filters. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j183]Hongtian Chen, Bin Jiang, Steven X. Ding, Biao Huang:
Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives. IEEE Trans. Intell. Transp. Syst. 23(3): 1700-1716 (2022) - [j182]Junyao Xie, Biao Huang, Stevan Dubljevic:
Transfer Learning for Dynamic Feature Extraction Using Variational Bayesian Inference. IEEE Trans. Knowl. Data Eng. 34(11): 5524-5535 (2022) - [j181]Ronghu Chi, Yu Hui, Biao Huang, Zhongsheng Hou, Xuhui Bu:
Data-Driven Adaptive Consensus Learning From Network Topologies. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3487-3497 (2022) - [j180]Hongtian Chen, Zheng Chai, Oguzhan Dogru, Bin Jiang, Biao Huang:
Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5694-5705 (2022) - [j179]Zheng Chai, Chunhui Zhao, Biao Huang, Hongtian Chen:
A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7598-7609 (2022) - [j178]Ronghu Chi, Yu Hui, Rongrong Wang, Biao Huang, Zhongsheng Hou:
Discrete-Time-Distributed Adaptive ILC With Nonrepetitive Uncertainties and Applications to Building HVAC Systems. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5068-5080 (2022) - [j177]Xunyuan Yin, Biao Huang:
Event-Triggered Distributed Moving Horizon State Estimation of Linear Systems. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6439-6451 (2022) - [c38]Oguzhan Dogru, Kirubakaran Velswamy, Fadi Ibrahim, Yuqi Wu, Arun Senthil Sundaramoorthy, Biao Huang, Shu Xu, Mark Nixon, Noel Bell:
Reinforcement Learning Approach to Autonomous PID Tuning. ACC 2022: 2691-2696 - [i8]Zhiyinan Huang, Jinfeng Liu, Biao Huang:
Model predictive control of agro-hydrological systems based on a two-layer neural network modeling framework. CoRR abs/2204.12694 (2022) - [i7]Wanke Yu, Min Wu, Biao Huang, Chengda Lu:
A Generalized Probabilistic Monitoring Model with Both Random and Sequential Data. CoRR abs/2206.13437 (2022) - [i6]Yan Qin, Chau Yuen, Xunyuan Yin, Biao Huang:
A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation. CoRR abs/2209.00190 (2022) - [i5]R. Bhushan Gopaluni, Aditya Tulsyan, Benoît Chachuat, Biao Huang, Jong Min Lee, Faraz Amjad, Seshu Kumar Damarla, Jong Woo Kim, Nathan P. Lawrence:
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey. CoRR abs/2209.11123 (2022) - 2021
- [j176]Jing Chen, Biao Huang, Min Gan, C. L. Philip Chen:
A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace. Autom. 129: 109663 (2021) - [j175]Fan Guo, Bing Wei, Biao Huang:
A just-in-time modeling approach for multimode soft sensor based on Gaussian mixture variational autoencoder. Comput. Chem. Eng. 146: 107230 (2021) - [j174]Vamsi Krishna Puli, Rahul Raveendran, Biao Huang:
Complex probabilistic slow feature extraction with applications in process data analytics. Comput. Chem. Eng. 154: 107456 (2021) - [j173]Guoyang Yan, Jinfeng Liu, Yousef Alipouri, Biao Huang:
Performance assessment of distributed LQG control subject to communication delays. Int. J. Control 94(12): 3551-3562 (2021) - [j172]Xiuli Zhu, Kuangrong Hao, Ruimin Xie, Biao Huang:
Soft sensor based on eXtreme gradient boosting and bidirectional converted gates long short-term memory self-attention network. Neurocomputing 434: 126-136 (2021) - [j171]Ling Li, Seshu Kumar Damarla, Yalin Wang, Biao Huang:
A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes. Inf. Sci. 581: 262-277 (2021) - [j170]Na Lin, Ronghu Chi, Biao Huang:
Event-triggered learning consensus of networked heterogeneous nonlinear agents with switching topologies. J. Frankl. Inst. 358(7): 3803-3821 (2021) - [j169]Wentao Bai, Fan Guo, Lei Chen, Kuangrong Hao, Biao Huang:
Identification of Gaussian process with switching noise mode and missing data. J. Frankl. Inst. 358(8): 4546-4570 (2021) - [j168]Xu Yang, Jingjing Gao, Biao Huang:
Data-driven design of fault detection and isolation method for distributed homogeneous systems. J. Frankl. Inst. 358(9): 4929-4949 (2021) - [j167]Ronghu Chi, Yu Hui, Chiang-Ju Chien, Biao Huang, Zhongsheng Hou:
Convergence Analysis of Sampled-Data ILC for Locally Lipschitz Continuous Nonlinear Nonaffine Systems With Nonrepetitive Uncertainties. IEEE Trans. Autom. Control. 66(7): 3347-3354 (2021) - [j166]Ronghu Chi, Yu Hui, Biao Huang, Zhongsheng Hou:
Active Disturbance Rejection Control for Nonaffined Globally Lipschitz Nonlinear Discrete-Time Systems. IEEE Trans. Autom. Control. 66(12): 5955-5967 (2021) - [j165]Wanke Yu, Chunhui Zhao, Biao Huang:
Stationary Subspace Analysis-Based Hierarchical Model for Batch Processes Monitoring. IEEE Trans. Control. Syst. Technol. 29(1): 444-453 (2021) - [j164]Rahul Raveendran, Biao Huang, Warren Mitchell:
A Variational Bayesian Causal Analysis Approach for Time-Varying Systems. IEEE Trans. Control. Syst. Technol. 29(3): 1191-1202 (2021) - [j163]David Scott, Chao Shang, Biao Huang, Dexian Huang:
A Holistic Probabilistic Framework for Monitoring Nonstationary Dynamic Industrial Processes. IEEE Trans. Control. Syst. Technol. 29(5): 2239-2246 (2021) - [j162]Ruijing Han, Yousef Salehi, Biao Huang, Vinay Prasad:
State Estimation for Multirate Measurements in the Presence of Integral Term and Variable Delay. IEEE Trans. Control. Syst. Technol. 29(6): 2416-2426 (2021) - [j161]Genghong Lu, Dongqin Feng, Biao Huang:
Hidden Markov Model-Based Attack Detection for Networked Control Systems Subject to Random Packet Dropouts. IEEE Trans. Ind. Electron. 68(1): 642-653 (2021) - [j160]Shunyi Zhao, Biao Huang, Chunhui Zhao:
Online Probabilistic Estimation of Sensor Faulty Signal in Industrial Processes and Its Applications. IEEE Trans. Ind. Electron. 68(9): 8853-8862 (2021) - [j159]Ranjith Chiplunkar, Biao Huang:
Siamese Neural Network-Based Supervised Slow Feature Extraction for Soft Sensor Application. IEEE Trans. Ind. Electron. 68(9): 8953-8962 (2021) - [j158]Jing Chen, Biao Huang, Feng Ding:
Identification of Two-Dimensional Causal Systems With Missing Output Data via Expectation-Maximization Algorithm. IEEE Trans. Ind. Informatics 17(8): 5185-5196 (2021) - [j157]Faraz Amjad, Santhosh Kumar Varanasi, Biao Huang:
Kalman Filter-Based Convolutional Neural Network for Robust Tracking of Froth-Middling Interface in a Primary Separation Vessel in Presence of Occlusions. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - [j156]Hongtian Chen, Zheng Chai, Bin Jiang, Biao Huang:
Data-Driven Fault Detection for Dynamic Systems With Performance Degradation: A Unified Transfer Learning Framework. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j155]Jingyi Wang, Yousef Alipouri, Biao Huang:
Dual Neural Extended Kalman Filtering Approach for Multirate Sensor Data Fusion. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [j154]Na Lin, Ronghu Chi, Biao Huang, Zhongsheng Hou:
Event-Triggered Nonlinear Iterative Learning Control. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5118-5128 (2021) - [j153]Agustín Vicente, Shunyi Zhao, Biao Huang:
Forward-Backward Smoothers With Finite Impulse Response Structure. IEEE Trans. Syst. Man Cybern. Syst. 51(2): 765-774 (2021) - [j152]Yu Hui, Ronghu Chi, Biao Huang, Zhongsheng Hou:
Extended State Observer-Based Data-Driven Iterative Learning Control for Permanent Magnet Linear Motor With Initial Shifts and Disturbances. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1881-1891 (2021) - [j151]Na Lin, Ronghu Chi, Biao Huang:
Event-Triggered Model-Free Adaptive Control. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3358-3369 (2021) - [j150]Na Lin, Ronghu Chi, Biao Huang:
Auxiliary Predictive Compensation-Based ILC for Variable Pass Lengths. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4048-4056 (2021) - [j149]Yu Hui, Ronghu Chi, Biao Huang, Zhongsheng Hou, Shangtai Jin:
Observer-Based Sampled-Data Model-Free Adaptive Control for Continuous-Time Nonlinear Nonaffine Systems With Input Rate Constraints. IEEE Trans. Syst. Man Cybern. Syst. 51(12): 7813-7822 (2021) - [c37]Rasoul M. Milasi, Biao Huang:
On Identification of a Coupled Four Tank System. ICCSE 2021: 697-701 - [i4]Yitao Yan, Jie Bao, Biao Huang:
Behavioural Approach to Distributed Control of Interconnected Systems. CoRR abs/2103.10063 (2021) - [i3]Zhiyinan Huang, Qinyao Liu, Jinfeng Liu, Biao Huang:
A comparative study of model approximation methods applied to economic MPC. CoRR abs/2106.11258 (2021) - 2020
- [j148]Shunyi Zhao, Biao Huang:
Trial-and-error or avoiding a guess? Initialization of the Kalman filter. Autom. 121: 109184 (2020) - [j147]Seraphina Kwak, Yanjun Ma, Biao Huang:
Extracting nonstationary features for process data analytics and application in fouling detection. Comput. Chem. Eng. 135: 106762 (2020) - [j146]Shabnam Sedghi, Ruomu Tan, Biao Huang:
Data analytics approach for online produced fluid flow rate estimation in SAGD process. Comput. Chem. Eng. 136: 106766 (2020) - [j145]Rui Nian, Jinfeng Liu, Biao Huang:
A review On reinforcement learning: Introduction and applications in industrial process control. Comput. Chem. Eng. 139: 106886 (2020) - [j144]Hareem Shafi, Kirubakaran Velswamy, Fadi Ibrahim, Biao Huang:
A hierarchical constrained reinforcement learning for optimization of bitumen recovery rate in a primary separation vessel. Comput. Chem. Eng. 140: 106939 (2020) - [j143]Zhenxing Li, Fan Guo, Lei Chen, Kuangrong Hao, Biao Huang:
Hybrid kernel approach to Gaussian process modeling with colored noises. Comput. Chem. Eng. 143: 107067 (2020) - [j142]Ronghu Chi, Yunkai Lv, Biao Huang:
Distributed iterative learning temperature control for multi-zone HVAC system. J. Frankl. Inst. 357(2): 810-831 (2020) - [j141]Yousef Alipouri, Hasan Alipour, Biao Huang:
Multiple step ahead prediction based high order discrete-time sliding mode control design with actuator and communication delays. J. Frankl. Inst. 357(12): 7845-7863 (2020) - [j140]Jianmin Xing, Na Lin, Ronghu Chi, Biao Huang, Zhongsheng Hou:
Data-driven nonlinear ILC with varying trial lengths. J. Frankl. Inst. 357(15): 10262-10287 (2020) - [j139]Yuan Yuan, Zukui Li, Biao Huang:
Oil sands extraction plant debottlenecking: an optimization approach. Optim. Lett. 14(4): 945-957 (2020) - [j138]Jing Chen, Biao Huang, Quanmin Zhu, Yanjun Liu, Lun Li:
Global convergence of the EM algorithm for ARX models with uncertain communication channels. Syst. Control. Lett. 136: 104614 (2020) - [j137]Qingchao Jiang, Xuefeng Yan, Biao Huang:
Deep Discriminative Representation Learning for Nonlinear Process Fault Detection. IEEE Trans Autom. Sci. Eng. 17(3): 1410-1419 (2020) - [j136]Elham Naghoosi, Biao Huang:
Detecting the Direction of Information Flow in Instantaneous Relations Between Variables. IEEE Trans. Control. Syst. Technol. 28(2): 542-549 (2020) - [j135]Ronghu Chi, Yu Hui, Biao Huang, Zhongsheng Hou:
Adjacent-Agent Dynamic Linearization-Based Iterative Learning Formation Control. IEEE Trans. Cybern. 50(10): 4358-4369 (2020) - [j134]Mengqi Fang, Hariprasad Kodamana, Biao Huang:
Real-Time Mode Diagnosis for Processes With Multiple Operating Conditions Using Switching Conditional Random Fields. IEEE Trans. Ind. Electron. 67(6): 5060-5070 (2020) - [j133]Ruimin Xie, Kuangrong Hao, Biao Huang, Lei Chen, Xin Cai:
Data-Driven Modeling Based on Two-Stream ${\rm{\lambda }}$ Gated Recurrent Unit Network With Soft Sensor Application. IEEE Trans. Ind. Electron. 67(8): 7034-7043 (2020) - [j132]Ronghu Chi, Yu Hui, Shuhua Zhang, Biao Huang, Zhongsheng Hou:
Discrete-Time Extended State Observer-Based Model-Free Adaptive Control Via Local Dynamic Linearization. IEEE Trans. Ind. Electron. 67(10): 8691-8701 (2020) - [j131]Feng Qian, Huijun Gao, Biao Huang, David Bogle:
Guest Editorial: Special Section on Smart Process Manufacturing Driven by Artificial Intelligence. IEEE Trans. Ind. Informatics 16(4): 2765-2766 (2020) - [j130]Ruimin Xie, Nabil Magbool Jan, Kuangrong Hao, Lei Chen, Biao Huang:
Supervised Variational Autoencoders for Soft Sensor Modeling With Missing Data. IEEE Trans. Ind. Informatics 16(4): 2820-2828 (2020) - [j129]Xiaofeng Yuan, Jiao Zhou, Biao Huang, Yalin Wang, Chunhua Yang, Weihua Gui:
Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy. IEEE Trans. Ind. Informatics 16(6): 3721-3730 (2020) - [j128]Yu Hui, Ronghu Chi, Biao Huang, Zhongsheng Hou:
3-D Learning-Enhanced Adaptive ILC for Iteration-Varying Formation Tasks. IEEE Trans. Neural Networks Learn. Syst. 31(1): 89-99 (2020) - [j127]Junxia Ma, Biao Huang, Feng Ding:
Iterative Identification of Hammerstein Parameter Varying Systems With Parameter Uncertainties Based on the Variational Bayesian Approach. IEEE Trans. Syst. Man Cybern. Syst. 50(3): 1035-1045 (2020) - [i2]Xunyuan Yin, Song Bo, Jinfeng Liu, Biao Huang:
A consensus-based approach for parameter and state estimation of agro-hydrological system. CoRR abs/2006.04931 (2020)
2010 – 2019
- 2019
- [j126]Na Lin, Ronghu Chi, Biao Huang:
Linear Time-Varying Data Model-Based Iterative Learning Recursive Least Squares Identifications for Repetitive Systems. IEEE Access 7: 133304-133313 (2019) - [j125]Hashem Alighardashi, Nabil Magbool Jan, Biao Huang:
Data rectification for multiple operating modes: A MAP framework. Comput. Chem. Eng. 123: 272-285 (2019) - [j124]Agustín Vicente, Rahul Raveendran, Biao Huang, Shabnam Sedghi, Anuj Narang, Hailei Jiang, Warren Mitchell:
Computer vision system for froth-middlings interface level detection in the primary separation vessels. Comput. Chem. Eng. 123: 357-370 (2019) - [j123]Zheyuan Liu, Hariprasad Kodamana, Artin Afacan, Biao Huang:
Dynamic prediction of interface level using spatial temporal markov random field. Comput. Chem. Eng. 128: 301-311 (2019) - [j122]Na Lin, Ronghu Chi, Biao Huang, Zhongsheng Hou:
Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control. J. Frankl. Inst. 356(1): 457-473 (2019) - [j121]Na Lin, Ronghu Chi, Biao Huang, Zhongsheng Hou:
Iterative dynamic linearization and identification of a nonlinear learning controller: A data-driven approach. J. Frankl. Inst. 356(13): 7009-7027 (2019) - [j120]Yanjun Ma, Shunyi Zhao, Biao Huang:
Multiple-Model State Estimation Based on Variational Bayesian Inference. IEEE Trans. Autom. Control. 64(4): 1679-1685 (2019) - [j119]Hariprasad Kodamana, Rahul Raveendran, Biao Huang:
Mixtures of Probabilistic PCA With Common Structure Latent Bases for Process Monitoring. IEEE Trans. Control. Syst. Technol. 27(2): 838-846 (2019) - [j118]Qingchao Jiang, Xuefeng Yan, Biao Huang:
Neighborhood Variational Bayesian Multivariate Analysis for Distributed Process Monitoring With Missing Data. IEEE Trans. Control. Syst. Technol. 27(6): 2330-2339 (2019) - [j117]Rahul Raveendran, Biao Huang:
Variational Bayesian Approach for Causality and Contemporaneous Correlation Features Inference in Industrial Process Data. IEEE Trans. Cybern. 49(7): 2580-2590 (2019) - [j116]Shunyi Zhao, Yanjun Ma, Biao Huang:
Probabilistic Monitoring of Sensors in State-Space With Variational Bayesian Inference. IEEE Trans. Ind. Electron. 66(3): 2154-2163 (2019) - [j115]Shunyi Zhao, Yanjun Ma, Biao Huang:
Robust FIR State Estimation of Dynamic Processes Corrupted by Outliers. IEEE Trans. Ind. Informatics 15(1): 139-147 (2019) - [j114]Shumei Zhang, Chunhui Zhao, Biao Huang:
Simultaneous Static and Dynamic Analysis for Fine-Scale Identification of Process Operation Statuses. IEEE Trans. Ind. Informatics 15(9): 5320-5329 (2019) - [j113]Yanjun Ma, Shunyi Zhao, Biao Huang:
Feature Extraction of Constrained Dynamic Latent Variables. IEEE Trans. Ind. Informatics 15(10): 5637-5645 (2019) - [j112]Xiaodan Hong, Biao Huang, Yongsheng Ding, Fan Guo, Lei Chen, Lihong Ren:
Multivariate Gaussian process regression for nonlinear modelling with colored noise. Trans. Inst. Meas. Control 41(8): 2268-2279 (2019) - [j111]Ronghu Chi, Zhongsheng Hou, Shangtai Jin, Biao Huang:
An Improved Data-Driven Point-to-Point ILC Using Additional On-Line Control Inputs With Experimental Verification. IEEE Trans. Syst. Man Cybern. Syst. 49(4): 687-696 (2019) - [c36]Yitao Yan, Jie Bao, Biao Huang:
Dissipativity Analysis for Linear Systems in the Behavioural Framework. ANZCC 2019: 94-98 - [c35]Yitao Yan, Jie Bao, Biao Huang:
Dissipativity Analysis for Linear Systems in the Behavioural Framework. ANZCC 2019: 152-156 - 2018
- [j110]Xiaoli Luan, Biao Huang, Fei Liu:
Higher order moment stability region for Markov jump systems based on cumulant generating function. Autom. 93: 389-396 (2018) - [j109]Jing Chen, Biao Huang, Feng Ding, Ya Gu:
Variational Bayesian approach for ARX systems with missing observations and varying time-delays. Autom. 94: 194-204 (2018) - [j108]Rahul Raveendran, Hariprasad Kodamana, Biao Huang:
Process monitoring using a generalized probabilistic linear latent variable model. Autom. 96: 73-83 (2018) - [j107]Mengqi Fang, Hariprasad Kodamana, Biao Huang, Nima Sammaknejad:
A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data. Comput. Chem. Eng. 111: 149-163 (2018) - [j106]Aditya Tulsyan, Swanand R. Khare, Biao Huang, R. Bhushan Gopaluni, J. Fraser Forbes:
A switching strategy for adaptive state estimation. Signal Process. 143: 371-380 (2018) - [j105]Junxia Ma, Ouyang Wu, Biao Huang, Feng Ding:
Expectation maximization estimation for a class of input nonlinear state space systems by using the Kalman smoother. Signal Process. 145: 295-303 (2018) - [j104]Shunyi Zhao, Biao Huang, Fei Liu:
Localization of Indoor Mobile Robot Using Minimum Variance Unbiased FIR Filter. IEEE Trans Autom. Sci. Eng. 15(2): 410-419 (2018) - [j103]Yujia Zhao, Alireza Fatehi, Biao Huang:
Robust Estimation of ARX Models With Time Varying Time Delays Using Variational Bayesian Approach. IEEE Trans. Cybern. 48(2): 532-542 (2018) - [j102]Chao Shang, Fan Yang, Biao Huang, Dexian Huang:
Recursive Slow Feature Analysis for Adaptive Monitoring of Industrial Processes. IEEE Trans. Ind. Electron. 65(11): 8895-8905 (2018) - [j101]Mohammad Rashedi, Jinfeng Liu, Biao Huang:
Triggered Communication in Distributed Adaptive High-Gain EKF. IEEE Trans. Ind. Informatics 14(1): 58-68 (2018) - [j100]Xiaofeng Yuan, Biao Huang, Yalin Wang, Chunhua Yang, Weihua Gui:
Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE. IEEE Trans. Ind. Informatics 14(7): 3235-3243 (2018) - [j99]Ronghu Chi, Zhongsheng Hou, Shangtai Jin, Biao Huang:
Computationally Efficient Data-Driven Higher Order Optimal Iterative Learning Control. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5971-5980 (2018) - [j98]Youqing Wang, Hao Zhang, Shaolong Wei, Donghua Zhou, Biao Huang:
Control Performance Assessment for ILC-Controlled Batch Processes in a 2-D System Framework. IEEE Trans. Syst. Man Cybern. Syst. 48(9): 1493-1504 (2018) - [j97]Fan Guo, Ouyang Wu, Hariprasad Kodamana, Yongsheng Ding, Biao Huang:
An Augmented Model Approach for Identification of Nonlinear Errors-in-Variables Systems Using the EM Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 48(11): 1968-1978 (2018) - [c34]Yanjun Ma, Seraphina Kwak, Lei Fan, Biao Huang:
A Variational Bayesian Approach to Modelling with Random Time-varying Time Delays. ACC 2018: 5914-5919 - [c33]Mengqi Fang, Hariprasad Kodamana, Biao Huang:
Switching Conditional Random Field Approach to Process Operating Mode Diagnosis for Multi-Modal Processes. CDC 2018: 5146-5151 - [c32]Ruoxia Li, Nabil Magbool Jan, Vinay Prasad, Biao Huang:
Constrained Extended Kalman Filter based on Kullback-Leibler (KL) Divergence. ECC 2018: 831-836 - [i1]Wenqing Li, Chunhui Zhao, Biao Huang:
Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control. CoRR abs/1809.03343 (2018) - 2017
- [j96]Zhiqiang Ge, Zhihuan Song, Steven X. Ding, Biao Huang:
Data Mining and Analytics in the Process Industry: The Role of Machine Learning. IEEE Access 5: 20590-20616 (2017) - [j95]Shunyi Zhao, Biao Huang, Yuriy S. Shmaliy:
Bayesian state estimation on finite horizons: The case of linear state-space model. Autom. 85: 91-99 (2017) - [j94]Shabnam Sedghi, Anahita Sadeghian, Biao Huang:
Mixture semisupervised probabilistic principal component regression model with missing inputs. Comput. Chem. Eng. 103: 176-187 (2017) - [j93]Liang Cao, Yuan Tao, Youqing Wang, Juan Li, Biao Huang:
Reliable H∞ control for nonlinear discrete-time systems with multiple intermittent faults in sensors or actuators. Int. J. Syst. Sci. 48(2): 302-315 (2017) - [j92]Yuri A. W. Shardt, Biao Huang:
Parameter-based conditions for closed-loop system identifiability of ARX models with routine operating data. J. Frankl. Inst. 354(2): 722-751 (2017) - [j91]Yuan Yuan, Zukui Li, Biao Huang:
Robust optimization approximation for joint chance constrained optimization problem. J. Glob. Optim. 67(4): 805-827 (2017) - [j90]Shunyi Zhao, Biao Huang, Fei Liu:
Linear Optimal Unbiased Filter for Time-Variant Systems Without Apriori Information on Initial Conditions. IEEE Trans. Autom. Control. 62(2): 882-887 (2017) - [j89]Shunyi Zhao, Biao Huang:
Iterative Residual Generator for Fault Detection With Linear Time-Invariant State-Space Models. IEEE Trans. Autom. Control. 62(10): 5422-5428 (2017) - [j88]Qibing Jin, Qie Liu, Biao Huang:
Control Design for Disturbance Rejection in the Presence of Uncertain Delays. IEEE Trans Autom. Sci. Eng. 14(4): 1570-1581 (2017) - [j87]Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song:
A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data. IEEE Trans. Control. Syst. Technol. 25(3): 1124-1132 (2017) - [j86]Elham Naghoosi, Biao Huang:
Interaction Analysis of Multivariate Control Systems Under Bayesian Framework. IEEE Trans. Control. Syst. Technol. 25(5): 1644-1655 (2017) - [j85]Shunyi Zhao, Biao Huang, Fei Liu:
Detection and Diagnosis of Multiple Faults With Uncertain Modeling Parameters. IEEE Trans. Control. Syst. Technol. 25(5): 1873-1881 (2017) - [j84]Qie Liu, Qibing Jin, Biao Huang, Min Liu:
Iteration Tuning of Disturbance Observer-Based Control System Satisfying Robustness Index for FOPTD Processes. IEEE Trans. Control. Syst. Technol. 25(6): 1978-1988 (2017) - [j83]Yujia Zhao, Alireza Fatehi, Biao Huang:
A Data-Driven Hybrid ARX and Markov Chain Modeling Approach to Process Identification With Time-Varying Time Delays. IEEE Trans. Ind. Electron. 64(5): 4226-4236 (2017) - [j82]Yanjun Ma, Biao Huang:
Bayesian Learning for Dynamic Feature Extraction With Application in Soft Sensing. IEEE Trans. Ind. Electron. 64(9): 7171-7180 (2017) - [j81]Fan Guo, Ouyang Wu, Yongsheng Ding, Biao Huang:
A Data-Based Augmented Model Identification Method for Linear Errors-in-Variables Systems Based on EM Algorithm. IEEE Trans. Ind. Electron. 64(11): 8657-8665 (2017) - [j80]Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song, Yalin Wang:
Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR. IEEE Trans. Ind. Informatics 13(2): 532-541 (2017) - [j79]Fan Guo, Hariprasad Kodamana, Yujia Zhao, Biao Huang, Yongsheng Ding:
Robust Identification of Nonlinear Errors-in-Variables Systems With Parameter Uncertainties Using Variational Bayesian Approach. IEEE Trans. Ind. Informatics 13(6): 3047-3057 (2017) - [j78]Alireza Fatehi, Biao Huang:
State Estimation and Fusion in the Presence of Integrated Measurement. IEEE Trans. Instrum. Meas. 66(9): 2490-2499 (2017) - [c31]Shabnam Sedghi, Biao Huang:
Simultaneous estimation of sub-model number and parameters for mixture probability principal component regression. ASCC 2017: 1069-1074 - [c30]Ouyang Wu, Hariprasad Kodamana, Juan Li, Biao Huang, J. Fraser Forbes:
Identification of nonlinear errors-in-variables systems in state-space form: A linear parameter varying approach. ASCC 2017: 1417-1422 - 2016
- [j77]Qingchao Jiang, Biao Huang, Xuefeng Yan:
GMM and optimal principal components-based Bayesian method for multimode fault diagnosis. Comput. Chem. Eng. 84: 338-349 (2016) - [j76]Yuan Yuan, Zukui Li, Biao Huang:
Robust optimization under correlated uncertainty: Formulations and computational study. Comput. Chem. Eng. 85: 58-71 (2016) - [j75]Anahita Sadeghian, Biao Huang:
Robust probabilistic principal component analysis for process modeling subject to scaled mixture Gaussian noise. Comput. Chem. Eng. 90: 62-78 (2016) - [j74]Weili Xiong, Wei Zhang, Baoguo Xu, Biao Huang:
JITL based MWGPR soft sensor for multi-mode process with dual-updating strategy. Comput. Chem. Eng. 90: 260-267 (2016) - [j73]Guijin Jia, Youqing Wang, Biao Huang:
Dynamic higher-order cumulants analysis for state monitoring based on a novel lag selection. Inf. Sci. 331: 45-66 (2016) - [j72]Jiao Chen, Tianhong Pan, Tianqing Pu, Biao Huang, Dorothy Yu Huang, Weiping Zhang, Stephan Gabos, Can Jin:
Predicting GHS toxicity using RTCA and discrete-time Fourier transform. J. Bioinform. Comput. Biol. 14(1): 1650004:1-1650004:20 (2016) - [j71]Xianqiang Yang, Biao Huang, Huijun Gao:
A direct maximum likelihood optimization approach to identification of LPV time-delay systems. J. Frankl. Inst. 353(8): 1862-1881 (2016) - [j70]Yongsheng Ding, Nan Xu, Shengfang Dai, Lihong Ren, Kuangrong Hao, Biao Huang:
An Immune System-Inspired Reconfigurable Controller. IEEE Trans. Control. Syst. Technol. 24(5): 1875-1882 (2016) - [j69]Yaojie Lu, Biao Huang, Shima Khatibisepehr:
A Variational Bayesian Approach to Robust Identification of Switched ARX Models. IEEE Trans. Cybern. 46(12): 3195-3208 (2016) - [j68]Qingchao Jiang, Xuefeng Yan, Biao Huang:
Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference. IEEE Trans. Ind. Electron. 63(1): 377-386 (2016) - [j67]Nima Sammaknejad, Biao Huang, Yaojie Lu:
Robust Diagnosis of Operating Mode Based on Time-Varying Hidden Markov Models. IEEE Trans. Ind. Electron. 63(2): 1142-1152 (2016) - [j66]Qingchao Jiang, Biao Huang, Steven X. Ding, Xuefeng Yan:
Bayesian Fault Diagnosis With Asynchronous Measurements and Its Application in Networked Distributed Monitoring. IEEE Trans. Ind. Electron. 63(10): 6316-6324 (2016) - [c29]Ouyang Wu, K. Hariprasad, Biao Huang, J. Fraser Forbes:
Identification of linear dynamic errors-in-variables systems with a dynamic uncertain input using the EM algorithm. CDC 2016: 1229-1234 - 2015
- [j65]Shunyi Zhao, Yuriy S. Shmaliy, Biao Huang, Fei Liu:
Minimum variance unbiased FIR filter for discrete time-variant systems. Autom. 53: 355-361 (2015) - [j64]Yafeng Guo, Biao Huang:
State estimation incorporating infrequent, delayed and integral measurements. Autom. 58: 32-38 (2015) - [j63]Ronghu Chi, Zhongsheng Hou, Biao Huang, Shangtai Jin:
A unified data-driven design framework of optimality-based generalized iterative learning control. Comput. Chem. Eng. 77: 10-23 (2015) - [j62]Sohail Nazari, Qing Zhao, Biao Huang:
Detecting and isolating abrupt changes in linear switching systems. Int. J. Control 88(4): 801-814 (2015) - [j61]Elham Naghoosi, Biao Huang:
Diagnosis of Oscillations Between Controller Tuning and Harmonic External Disturbances. IEEE Trans. Control. Syst. Technol. 23(4): 1283-1293 (2015) - [j60]Kangkang Zhang, Ruben Gonzalez, Biao Huang, Guoli Ji:
Expectation-Maximization Approach to Fault Diagnosis With Missing Data. IEEE Trans. Ind. Electron. 62(2): 1231-1240 (2015) - [j59]Omid Namaki-Shoushtari, Biao Huang:
Bayesian Control Loop Diagnosis by Combining Historical Data and Process Knowledge of Fault Signatures. IEEE Trans. Ind. Electron. 62(6): 3696-3704 (2015) - [j58]Shunyi Zhao, Biao Huang, Fei Liu:
Fault Detection and Diagnosis of Multiple-Model Systems With Mismodeled Transition Probabilities. IEEE Trans. Ind. Electron. 62(8): 5063-5071 (2015) - [c28]Xiaodong Xu, Stevan Dubljevic, Biao Huang:
Constrained optimal boundary state estimation for dissipative systems. ACC 2015: 1965-1970 - [c27]Liu Liu, Biao Huang, Stevan Dubljevic:
Explicit/multi-parametric model predictive control of dissipative distributed parameter systems. ACC 2015: 2625-2630 - [c26]Xiaodong Xu, Biao Huang, Stevan Dubljevic:
State feedback output regulation for a class of hyperbolic PDE systems. ECC 2015: 521-526 - 2014
- [j57]Zhankun Xi, Swanand R. Khare, Aaron Cheung, Biao Huang, Tianhong Pan, Weiping Zhang, Fadi Ibrahim, Can Jin, Stephan Gabos:
Mode of action classification of chemicals using multi-concentration time-dependent cellular response profiles. Comput. Biol. Chem. 49: 23-35 (2014) - [j56]Marziyeh Keshavarz, Biao Huang:
Bayesian and Expectation Maximization methods for multivariate change point detection. Comput. Chem. Eng. 60: 339-353 (2014) - [j55]Jagdeesan Prakash, Biao Huang, Sirish L. Shah:
Recursive constrained state estimation using modified extended Kalman filter. Comput. Chem. Eng. 65: 9-17 (2014) - [j54]Marziyeh Keshavarz, Biao Huang:
Expectation Maximization method for multivariate change point detection in presence of unknown and changing covariance. Comput. Chem. Eng. 69: 128-146 (2014) - [j53]Nima Sammaknejad, Biao Huang, Alireza Fatehi, Yu Miao, Fangwei Xu, Aris Espejo:
Adaptive monitoring of the process operation based on symbolic episode representation and hidden Markov models with application toward an oil sand primary separation. Comput. Chem. Eng. 71: 281-297 (2014) - [c25]Elham Naghoosi, Biao Huang:
Diagnosis between sinusoidal oscillations and oscillatory colored noise. ACC 2014: 3518-3523 - [c24]Yaojie Lu, Shima Khatibisepehr, Biao Huang:
A variational Bayesian approach to identification of switched ARX models. CDC 2014: 2542-2547 - 2013
- [j52]Yafeng Guo, Biao Huang:
Moving horizon estimation for switching nonlinear systems. Autom. 49(11): 3270-3281 (2013) - [j51]Tianhong Pan, Swanand R. Khare, Fred Ackah, Biao Huang, Weiping Zhang, Stephan Gabos, Can Jin, Melinda Stampfl:
In vitro cytotoxicity assessment based on KC50 with real-time cell analyzer (RTCA) assay. Comput. Biol. Chem. 47: 113-120 (2013) - [j50]Zhong-Gai Zhao, Biao Huang, Fei Liu:
Bayesian method for state estimation of batch process with missing data. Comput. Chem. Eng. 53: 14-24 (2013) - [j49]Yuri A. W. Shardt, Biao Huang:
Data quality assessment of routine operating data for process identification. Comput. Chem. Eng. 55: 19-27 (2013) - [j48]Zhong-Gai Zhao, Biao Huang, Fei Liu:
Parameter estimation in batch process using EM algorithm with particle filter. Comput. Chem. Eng. 57: 159-172 (2013) - [j47]Moshood J. Olanrewaju, Biao Huang:
A moving horizon approach to a noncontinuum state estimation. Int. J. Control 86(6): 1098-1106 (2013) - [j46]Liuping Wang, Biao Huang:
Model Predictive Control: Algorithmic Development and Applications. Int. J. Control 86(8): 1323 (2013) - [j45]Aditya Tulsyan, Biao Huang, R. Bhushan Gopaluni, J. Fraser Forbes:
A Particle Filter Approach to Approximate Posterior Cramer-Rao Lower Bound: The Case of Hidden States. IEEE Trans. Aerosp. Electron. Syst. 49(4): 2478-2495 (2013) - [c23]Ruben Gonzalez, Biao Huang:
Data-driven diagnosis with ambiguous hypotheses in historical data: A generalized Dempter-Shafer approach. FUSION 2013: 2139-2144 - [c22]Xinguang Shao, Zhong-Gai Zhao, Fei Liu, Biao Huang:
Ellipsoidal set based robust particle filtering for recursive Bayesian state estimation. ICCA 2013: 568-573 - [c21]Marziyeh Keshavarz, Biao Huang:
Expectation maximization approach to gross error and change point detection. ICCA 2013: 586-591 - [c20]Lili Han, Biao Huang:
Parameter estimation for a dual rate system with time delay. ICCA 2013: 1845-1849 - 2012
- [j44]X. Jin, Biao Huang:
Identification of switched Markov autoregressive eXogenous systems with hidden switching state. Autom. 48(2): 436-441 (2012) - [c19]Sohail Nazari, Qing Zhao, Biao Huang:
Matrix-wise approach for identification of multi-mode Switched ARX models with noise. ACC 2012: 3402-3407 - [c18]Shima Khatibisepehr, Biao Huang:
Bayesian methods for process identification with outliers. ACC 2012: 3516-3521 - [c17]Li Xie, Yijia Zhu, Biao Huang, Yisong Zheng:
Kalman filtering approach to multirate information fusion for soft sensor development. FUSION 2012: 641-648 - [c16]Zhong-Gai Zhao, Biao Huang, Cheng-Lin Liu:
A particle filter based on a constrained sampling method for state estimation. FUSION 2012: 816-823 - 2011
- [j43]Fei Qi, Biao Huang:
Bayesian methods for control loop diagnosis in the presence of temporal dependent evidences. Autom. 47(7): 1349-1356 (2011) - [j42]Yuri A. W. Shardt, Biao Huang:
Closed-loop identification condition for ARMAX models using routine operating data. Autom. 47(7): 1534-1537 (2011) - [j41]Shima Khatibisepehr, Biao Huang, Fadi Ibrahim, James Z. Xing, W. Roa:
Data-based modeling and prediction of cytotoxicity induced by contaminants in water resources. Comput. Biol. Chem. 35(2): 69-80 (2011) - [j40]Ruben Gonzalez, Biao Huang, Fangwei Xu, Aris Espejo, Joseph Amalraj, William Lam:
Reconciling continuum and non-continuum data with industrial application. Comput. Chem. Eng. 35(3): 519-529 (2011) - [j39]BaoCang Ding, Biao Huang, Fangwei Xu:
Dynamic output feedback robust model predictive control. Int. J. Syst. Sci. 42(10): 1669-1682 (2011) - [j38]Chunyu Liu, Biao Huang, Qinglin Wang:
Control Performance Assessment Subject to Multi-Objective User-Specified Performance Characteristics. IEEE Trans. Control. Syst. Technol. 19(3): 682-691 (2011) - [c15]Jing Deng, Biao Huang:
Bayesian method for identification of constrained nonlinear processes with missing output data. ACC 2011: 96-101 - [c14]Sohail Nazari, Qing Zhao, Biao Huang:
An improved algebraic geometric solution to the identification of switched ARX models with noise. ACC 2011: 1230-1235 - 2010
- [j37]N. Danesh Pour, Biao Huang, S. L. Shah:
Performance assessment of advanced supervisory-regulatory control systems with subspace LQG benchmark. Autom. 46(8): 1363-1368 (2010) - [j36]A. K. M. M. Murshed, Biao Huang, K. Nandakumar:
Estimation and control of solid oxide fuel cell system. Comput. Chem. Eng. 34(1): 96-111 (2010)
2000 – 2009
- 2009
- [j35]Barath Ram Jayasankar, Amos Ben-Zvi, Biao Huang:
Identifiability and estimability study for a dynamic solid oxide fuel cell model. Comput. Chem. Eng. 33(2): 484-492 (2009) - [j34]Jiandong Wang, Akira Sano, Tongwen Chen, Biao Huang:
Identification of Hammerstein systems without explicit parameterisation of non-linearity. Int. J. Control 82(5): 937-952 (2009) - [j33]Kwan Ho Lee, Igor M. Boiko, Biao Huang:
Implementation of FIR control for H∞ output feedback stabilisation of linear systems. Int. J. Control 82(12): 2335-2346 (2009) - [j32]Kwan Ho Lee, Biao Huang:
H∞ structured model reduction algorithms for linear discrete systems via LMI-based optimisation. Int. J. Syst. Sci. 40(7): 685-693 (2009) - [c13]Kwan Ho Lee, Igor M. Boiko, Biao Huang:
Implementation of FIR control for H∞ output feedback stabilization of linear systems. ACC 2009: 3130-3135 - [c12]Chunyu Liu, Biao Huang, Qinglin Wang:
A control performance benchmark subject to output variance/covariance upper bound and pole placement constraint. ACC 2009: 4147-4152 - [c11]Chunyu Liu, Biao Huang, Qinglin Wang:
Assessment of control system performance with LTV disturbance dynamics: SISO case. CDC 2009: 1872-1877 - 2008
- [j31]Kwan Ho Lee, Biao Huang:
Robust H2 optimal filtering for continuous-time stochastic systems with polytopic parameter uncertainty. Autom. 44(10): 2686-2690 (2008) - [j30]Fangwei Xu, Biao Huang, Edgar C. Tamayo:
Performance assessment of MIMO control systems with time-variant disturbance dynamics. Comput. Chem. Eng. 32(9): 2144-2154 (2008) - [j29]BaoCang Ding, Biao Huang:
Reformulation of LMI-based stabilisation conditions for non-linear systems in Takagi-Sugeno's form. Int. J. Syst. Sci. 39(5): 487-496 (2008) - [c10]Chao Zhao, Hongye Su, Yong Gu, Biao Huang:
LQG benchmarking for economic control performance. ACC 2008: 3362-3367 - [c9]Fei Qi, Biao Huang:
Data-driven Bayesian approach for control loop diagnosis. ACC 2008: 3368-3373 - 2007
- [j28]Jiandong Wang, Akira Sano, David S. Shook, Tongwen Chen, Biao Huang:
A blind approach to closed-loop identification of Hammerstein systems. Int. J. Control 80(2): 302-313 (2007) - [j27]Baocang Ding, Biao Huang:
Constrained robust model predictive control for time-delay systems with polytopic description. Int. J. Control 80(4): 509-522 (2007) - [j26]BaoCang Ding, Biao Huang:
New formulation of robust MPC by incorporating off-line approach with on-line optimization. Int. J. Syst. Sci. 38(6): 519-529 (2007) - [j25]BaoCang Ding, Biao Huang:
Comments on "A Feedback Min-Max MPC Algorithm for LPV Systems Subject to Bounded Rates of Change of Parameters. IEEE Trans. Autom. Control. 52(5): 970 (2007) - [j24]Baocang Ding, Biao Huang:
Erratum to "Comments on 'A Feedback Min-Max MPC Algortihm for LPV Systems Subject to Bounded Rates of Change of Parameters'". IEEE Trans. Autom. Control. 52(7): 1356 (2007) - [j23]Xiaorui Wang, Biao Huang, Tongwen Chen:
Multirate Minimum Variance Control Design and Control Performance Assessment: A Data-Driven Subspace Approach. IEEE Trans. Control. Syst. Technol. 15(1): 65-74 (2007) - [c8]Jiandong Wang, Akira Sano, Tongwen Chen, Biao Huang:
Blind Hammerstein Identification for MR Damper Modeling. ACC 2007: 2277-2282 - [c7]Hailei Jiang, Biao Huang, Sirish L. Shah:
Closed-loop model validation based on the two-model divergence method. CDC 2007: 1826-1831 - 2006
- [j22]Liqian Zhang, Biao Huang, Tongwen Chen:
Model Reduction of Uncertain Systems with Multiplicative Noise Based on Balancing. SIAM J. Control. Optim. 45(5): 1541-1560 (2006) - [j21]Jiandong Wang, Tongwen Chen, Biao Huang:
Cyclo-period estimation for discrete-time cyclo-stationary signals. IEEE Trans. Signal Process. 54(1): 83-94 (2006) - [c6]Yutong Qi, Biao Huang, Jingli Luo:
Nonlinear state space modeling and simulation of a SOFC fuel cell. ACC 2006: 1-5 - [c5]Sien Lu, Biao Huang:
Intelligent Process Trend Recognition Fault Diagnosis and Industrial Application. ICIC (2) 2006: 637-642 - 2005
- [j20]X. Huang, Biao Huang:
Fixed-order Controller Design for Linear Time-invariant Descriptor Systems: a Bmi Approach. Int. J. Syst. Sci. 36(1): 13-18 (2005) - [j19]Jianping Gao, Biao Huang:
Delay-dependent robust guaranteed cost control of an uncertain linear system with state and input delay. Int. J. Syst. Sci. 36(1): 19-26 (2005) - [j18]Liqian Zhang, Yang Shi, Tongwen Chen, Biao Huang:
A New Method for Stabilization of Networked Control Systems With Random Delays. IEEE Trans. Autom. Control. 50(8): 1177-1181 (2005) - [j17]Li-Sheng Hu, Biao Huang:
Multirate Robust Digital Control for Fuzzy Systems With Periodic Lyapunov Function. IEEE Trans. Fuzzy Syst. 13(4): 436-443 (2005) - [j16]Jiandong Wang, Tongwen Chen, Biao Huang:
On spectral theory of cyclostationary signals in multirate systems. IEEE Trans. Signal Process. 53(7): 2421-2431 (2005) - [c4]Liqian Zhang, Yang Shi, Tongwen Chen, Biao Huang:
A new method for stabilization of networked control systems with random delays. ACC 2005: 633-637vol.1 - [c3]Biao Huang, James Z. Xing:
Dynamic Modeling, Prediction and Analysis of Cytotoxicity on Microelectronic Sensors. FSKD (2) 2005: 265-274 - 2004
- [j15]Li-Sheng Hu, Biao Huang, Yong-Yan Cao:
Robust digital model predictive control for linear uncertain systems with saturations. IEEE Trans. Autom. Control. 49(5): 792-796 (2004) - [j14]Liqian Zhang, Biao Huang:
Robust model predictive control of singular systems. IEEE Trans. Autom. Control. 49(6): 1000-1006 (2004) - 2003
- [j13]Liqian Zhang, Biao Huang, James Lam:
H∞ model reduction of Markovian jump linear systems. Syst. Control. Lett. 50(2): 103-118 (2003) - [j12]Liqian Zhang, Biao Huang, James Lam:
LMI synthesis of H2 and mixed H2/H∞ controllers for singular systems. IEEE Trans. Circuits Syst. II Express Briefs 50(9): 615-626 (2003) - [c2]Xin Huang, Liqian Zhang, Biao Huang:
Covariance constrained LQ control and applications. ACC 2003: 3992-3997 - [c1]Li-Sheng Hu, Biao Huang, Yong-Yan Cao, Hui-He Shao:
Robust digital model predictive control for linear uncertain systems with saturations. CDC 2003: 4776-4781 - 2002
- [j11]Sheng Wan, Biao Huang:
Robust performance assessment of feedback control systems. Autom. 38(1): 33-46 (2002) - 2001
- [j10]Jianping Gao, Biao Huang, Zidong Wang:
LMI-based robust Hinfinity control of uncertain linear jump systems with time-delays. Autom. 37(7): 1141-1146 (2001) - [j9]Jianping Gao, Biao Huang, Zidong Wang, D. Grant Fisher:
Robust reliable control for a class of uncertain nonlinear systems with time-varying multistate time delays. Int. J. Syst. Sci. 32(7): 817-824 (2001) - [j8]Biao Huang:
Detection of abrupt changes of total least squares models and application in fault detection. IEEE Trans. Control. Syst. Technol. 9(2): 357-367 (2001) - [j7]Zidong Wang, Biao Huang, Peijun Huo:
Sampled-data filtering with error covariance assignment. IEEE Trans. Signal Process. 49(3): 666-670 (2001) - 2000
- [j6]Sheng Wan, Biao Huang:
Gap metric on the subgraphs of systems and the robustness problem. IEEE Trans. Autom. Control. 45(8): 1522-1526 (2000) - [j5]Biao Huang, Sirish L. Shah, Randy Miller:
Feedforward plus feedback controller performance assessment of MIMO systems. IEEE Trans. Control. Syst. Technol. 8(3): 580-587 (2000) - [j4]Zidong Wang, Biao Huang:
Robust H2/H∞ filtering for linear systems with error variance constraints. IEEE Trans. Signal Process. 48(8): 2463-2467 (2000)
1990 – 1999
- 1999
- [j3]Zidong Wang, Biao Huang, Heinz Unbehauen:
Robust reliable control for a class of uncertain nonlinear state-delayed systems. Autom. 35(5): 955-963 (1999) - [j2]Zidong Wang, Biao Huang, Heinz Unbehauen:
Robust Hinfinity observer design of linear state delayed systems with parametric uncertainty: the discrete-time case. Autom. 35(6): 1161-1167 (1999) - 1997
- [j1]Biao Huang, Sirish L. Shah, K. Ezra Kwok:
Good, bad or optimal? Performance assessment of multivariable processes. Autom. 33(6): 1175-1183 (1997)
Coauthor Index
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