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ORCIDKang Li 0002
Person information
- affiliation: University of Leeds, School of Electronic and Electrical Engineering, UK
- affiliation (2002 - 2018): Queen's University Belfast, School of Electronics, Electrical Engineering and Computer Science, UK
Other persons with the same name
- Kang Li — disambiguation page
- Kang Li 0001
![[0000-0002-9789-3233]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-9789-3233")
— University of Georgia, Department of Computer Science, Athens, GA, USA - Kang Li 0003 — The State University of New York at Buffalo, Department of Computer Science and Engineering, NY, USA
- Kang Li 0004 — Sichuan University, West China Hospital, West China Biomedical Big Data Center, Chengdu, China (and 4 more)
- Kang Li 0005 — Northwest University, College of Information Science and Technology, Xi'an, China
- Kang Li 0007 — Chinese University of Hong Kong, Department of Computer Science and Engineering, Institute of Medical Intelligence and XR, Hong Kong
- Kang Li 0008 — Jiangnan University, School of Artificial Intelligence and Computer Science, Wuxi, China (and 1 more)
- Kang Li 0009 — Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, China
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2020 – today
- 2024
[j96]Amir Aghazadeh, Ehsan Hajipour, Kang Li, Sadegh Azizi:
Mitigating the Inrush Current of V/V Transformers Using Railway Conditioners. IEEE Access 12: 50885-50897 (2024)- [j95]Ai-Min Wang, Minrui Fei, Yang Song, Dajun Du, Chen Peng, Kang Li:
Scalable Fuzzy Control for Nonlinear DC Microgrids Under Plug-and-Play Operations. IEEE Trans. Fuzzy Syst. 32(8): 4747-4758 (2024) - [j94]Jianhua Zhang, Yongyue Wang, Hongrui Li, Guiping Zhou, Bin Li, Lei Wang, Kang Li:
SFR Modeling for Hybrid Power Systems Based on Deep Transfer Learning. IEEE Trans. Ind. Informatics 20(1): 399-410 (2024) - [j93]Xiwen Wang, Xinli Wang, Xiaohong Yin, Kang Li, Lei Wang, Ruiqi Wang, Rui Song:
Distributed LSTM-GCN-Based Spatial-Temporal Indoor Temperature Prediction in Multizone Buildings. IEEE Trans. Ind. Informatics 20(1): 482-491 (2024) - [j92]Amin Nassaj, Amir Abiri Jahromi, Kang Li, Vladimir V. Terzija, Sadegh Azizi:
Fast Linear State Estimation for Unbalanced Distribution Systems Using Hybrid Measurements. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j91]Jialei Su, Kang Li, Chen Xing:
Plug-and-Play of Grid-Forming Units in DC Microgrids Assisted With Power Buffers. IEEE Trans. Smart Grid 15(2): 1213-1226 (2024) - [c66]Yejing Fan, Li Zhang, Kang Li, Minghan Bao, Mowei Lu:
Deep Learning-based EMI and IEMI Classification in 5G- R High-Speed Rail Wireless Communications. VTC Spring 2024: 1-6 - 2023
- [j90]Yu Luo, Li Zhang, Chunyang Chen, Kang Li, Tianjian Yu, Kaidi Li:
FRA-Based Parameter Estimation for Fault Diagnosis of Three-Phase Voltage-Source Inverters. IEEE Access 11: 113836-113847 (2023) - [j89]Jiayang Zhang, Kang Li:
A multi-view CNN encoding for motor imagery EEG signals. Biomed. Signal Process. Control. 85: 105063 (2023) - [j88]Yu Zhang, Minrui Fei, Qing Sun, Dajun Du, Aleksandar Rakic, Kang Li:
A Multi-Objective and Multi-Constraint Optimization Model for Cyber-Physical Power Systems Considering Renewable Energy and Electric Vehicles. IEEE CAA J. Autom. Sinica 10(6): 1498-1500 (2023) - [j87]Li Zhang, Kang Li, Dajun Du, Yihuan Li, Minrui Fei:
A regularised fast recursive algorithm for fraction model identification of nonlinear dynamic systems. Int. J. Syst. Sci. 54(7): 1616-1638 (2023) - [j86]Tong Liu, Sheng Chen, Kang Li, Shaojun Gan, Chris J. Harris:
Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression. IEEE Trans. Cybern. 53(12): 7906-7919 (2023) - [j85]Shiyun Liu, Kang Li:
Thermal monitoring of lithium-ion batteries based on machine learning and fibre Bragg grating sensors. Trans. Inst. Meas. Control 45(8): 1570-1578 (2023) - [j84]Huifeng Zhang, Dong Yue, Chunxia Dou, Xiangpeng Xie, Kang Li, Gerhard P. Hancke:
Resilient Optimal Defensive Strategy of TSK Fuzzy-Model-Based Microgrids' System via a Novel Reinforcement Learning Approach. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1921-1931 (2023) - [j83]Han Wang, Youwei Jia, Mengge Shi, Peng Xie, Chun Sing Lai, Kang Li:
A Hybrid Incentive Program for Managing Electric Vehicle Charging Flexibility. IEEE Trans. Smart Grid 14(1): 476-488 (2023) - [j82]Han Wang, Youwei Jia, Mengge Shi, Chun Sing Lai, Kang Li:
A Mutually Beneficial Operation Framework for Virtual Power Plants and Electric Vehicle Charging Stations. IEEE Trans. Smart Grid 14(6): 4634-4648 (2023) - [j81]Yejing Fan, Li Zhang, Kang Li:
EMI and IEMI Impacts on the Radio Communication Network of Electrified Railway Systems: A Critical Review. IEEE Trans. Veh. Technol. 72(8): 10409-10424 (2023) - [c65]Amin Nassaj, Amir Abiri Jahromi, Kang Li, Vladimir V. Terzija, Sadegh Azizi:
Linear Distribution System State Estimation by Hybrid Synchronized/Unsynchronized Measurements. AMPS 2023: 1-6 - 2022
- [j80]Zhou Wu, Gan Luo, Zhile Yang, Yuanjun Guo, Kang Li, Yusheng Xue:
A comprehensive review on deep learning approaches in wind forecasting applications. CAAI Trans. Intell. Technol. 7(2): 129-143 (2022) - [j79]Huifeng Zhang, Dong Yue, Chunxia Dou, Kang Li, Gerhard P. Hancke:
Two-Step Wind Power Prediction Approach With Improved Complementary Ensemble Empirical Mode Decomposition and Reinforcement Learning. IEEE Syst. J. 16(2): 2545-2555 (2022) - [j78]Han Wang, Youwei Jia, Chun Sing Lai, Kang Li:
Optimal Virtual Power Plant Operational Regime Under Reserve Uncertainty. IEEE Trans. Smart Grid 13(4): 2973-2985 (2022) - [c64]Jiayang Zhang, Kang Li:
A Pruned Deep Learning Approach for Classification of Motor Imagery Electroencephalography Signals. EMBC 2022: 4072-4075 - 2021
- [j77]Xiaopeng Tang, Kailong Liu, Kang Li, Widanalage Dhammika Widanage, Emma Kendrick, Furong Gao:
Recovering large-scale battery aging dataset with machine learning. Patterns 2(8): 100302 (2021) - [j76]Huifeng Zhang, Dong Yue, Chunxia Dou, Kang Li, Xiangpeng Xie:
Event-Triggered Multiagent Optimization for Two-Layered Model of Hybrid Energy System With Price Bidding-Based Demand Response. IEEE Trans. Cybern. 51(4): 2068-2079 (2021) - [j75]Huifeng Zhang, Dong Yue, Wenbin Yue, Kang Li, Mingjia Yin:
MOEA/D-Based Probabilistic PBI Approach for Risk-Based Optimal Operation of Hybrid Energy System With Intermittent Power Uncertainty. IEEE Trans. Syst. Man Cybern. Syst. 51(4): 2080-2090 (2021) - [c63]Wei Zuo, Kang Li:
Three-State Markov Chain Based Reliability Analysis of Complex Traction Power Supply Systems. ICSRS 2021: 74-79 - [c62]Kang Li:
Keynote Talk: Intelligent Monitoring, State Estimation and Charging Control of Li-ion Batteries. SIET 2021: 10 - 2020
- [j74]Li Zhang, Kang Li, Dajun Du, Yuanjun Guo, Minrui Fei, Zhile Yang:
A Sparse Learning Machine for Real-Time SOC Estimation of Li-ion Batteries. IEEE Access 8: 156165-156176 (2020) - [j73]Li Zhang, Min Zheng, Dajun Du, Yihuan Li, Minrui Fei, Yuanjun Guo, Kang Li:
State-of-Charge Estimation of Lithium-Ion Battery Pack Based on Improved RBF Neural Networks. Complex. 2020: 8840240:1-8840240:10 (2020) - [j72]Xu Chen, Kang Li, Bin Xu, Zhile Yang:
Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem. Knowl. Based Syst. 208: 106463 (2020) - [j71]Shawn Li, Kang Li, Evan Xiao, Chi-Kong Wong:
Joint SoC and SoH Estimation for Zinc-Nickel Single-Flow Batteries. IEEE Trans. Ind. Electron. 67(10): 8484-8494 (2020) - [j70]Jun Cao, Dan Harrold, Zhong Fan, Thomas Morstyn, David Healey, Kang Li:
Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model. IEEE Trans. Smart Grid 11(5): 4513-4521 (2020) - [c61]Chè Cameron, Wasif Naeem, Kang Li:
Functional Qos Metric For Lorawan Applications In Challenging Industrial Environment. WFCS 2020: 1-6
2010 – 2019
- 2019
- [j69]Dongsheng Yang, Yongheng Pang, Bowen Zhou, Kang Li:
Fault Diagnosis for Energy Internet Using Correlation Processing-Based Convolutional Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. 49(8): 1739-1748 (2019) - 2018
- [j68]Kailong Liu, Kang Li, Qiao Peng, Yuanjun Guo, Li Zhang:
Data-Driven Hybrid Internal Temperature Estimation Approach for Battery Thermal Management. Complex. 2018: 9642892:1-9642892:15 (2018) - [j67]Yongling Wu, Shaoyuan Li, Kang Li:
Enhanced receding horizon optimal performance for online tuning of PID controller parameters. Int. J. Model. Identif. Control. 29(3): 209-217 (2018) - [j66]Zhile Yang, Kang Li, Yuanjun Guo, Haiping Ma, Min Zheng:
Compact real-valued teaching-learning based optimization with the applications to neural network training. Knowl. Based Syst. 159: 51-62 (2018) - [j65]Wen-Xiao Zhao, Han-Fu Chen, Er-Wei Bai, Kang Li:
Local variable selection of nonlinear nonparametric systems by first order expansion. Syst. Control. Lett. 111: 1-8 (2018) - [j64]Kailong Liu, Changfu Zou, Kang Li, Torsten Wik:
Charging Pattern Optimization for Lithium-Ion Batteries With an Electrothermal-Aging Model. IEEE Trans. Ind. Informatics 14(12): 5463-5474 (2018) - [j63]Weihua Deng, Kang Li, Jing Deng:
Event-triggered H∞ position control of receiver coil for effective mobile wireless charging of electric vehicles. Trans. Inst. Meas. Control 40(14): 3994-4003 (2018) - [j62]Shaojun Gan, Shan Liang, Kang Li, Jing Deng, Tingli Cheng:
Trajectory Length Prediction for Intelligent Traffic Signaling: A Data-Driven Approach. IEEE Trans. Intell. Transp. Syst. 19(2): 426-435 (2018) - [j61]Xiandong Xu, Kang Li, Hongjie Jia, Xiaodan Yu, Jing Deng, Yunfei Mu:
Data-Driven Dynamic Modeling of Coupled Thermal and Electric Outputs of Microturbines. IEEE Trans. Smart Grid 9(2): 1387-1396 (2018) - [c60]Li Zhang, Kang Li, Zhile Yang, Xiang Li, Yuanjun Guo, Dajun Du, Chikong Wong:
Compact Neural Modeling of Single Flow Zinc-Nickel Batteries Based on Jaya Optimization. CEC 2018: 1-6 - 2017
- [j60]Zhile Yang, Kang Li, Qun Niu, Yusheng Xue:
A novel parallel-series hybrid meta-heuristic method for solving a hybrid unit commitment problem. Knowl. Based Syst. 134: 13-30 (2017) - [j59]Cheng Zhang, Kang Li, Jing Deng, Shiji Song:
Improved Realtime State-of-Charge Estimation of LiFePO 4 Battery Based on a Novel Thermoelectric Model. IEEE Trans. Ind. Electron. 64(1): 654-663 (2017) - [j58]Shaojun Gan, Shan Liang, Kang Li, Jing Deng, Tingli Cheng:
Long-Term Ship Speed Prediction for Intelligent Traffic Signaling. IEEE Trans. Intell. Transp. Syst. 18(1): 82-91 (2017) - [j57]Dajun Du, Rui Chen, Minrui Fei, Kang Li:
A Novel Networked Online Recursive Identification Method for Multivariable Systems With Incomplete Measurement Information. IEEE Trans. Signal Inf. Process. over Networks 3(4): 744-759 (2017) - [c59]Ziqi Yang, Zhile Yang, Kang Li, Wasif Naeem, Kailong Liu:
Heuristic Based Terminal Iterative Learning Control of ISBM Reheating Processes. LSMS/ICSEE (2) 2017: 262-271 - [c58]Xiang Li, Kang Li, Zhile Yang, Chikong Wong:
A Novel RBF Neural Model for Single Flow Zinc Nickel Batteries. LSMS/ICSEE (3) 2017: 386-395 - [c57]Li Zhang, Kang Li, Dajun Du, Minrui Fei, Xiang Li:
State-of-Charge Estimation of Lithium Batteries Using Compact RBF Networks and AUKF. LSMS/ICSEE (3) 2017: 396-405 - [c56]Weihua Deng, Pengfei Chen, Kang Li, Chuanfeng Li:
Control Strategies for the Microgrid Control System with Communication Delays. LSMS/ICSEE (3) 2017: 579-586 - [c55]Xiang Li, Kang Li, Zhile Yang:
Teaching-Learning-Feedback-Based Optimization. ICSI (1) 2017: 71-79 - [e9]Kang Li, Yusheng Xue, Shumei Cui, Qun Niu, Zhile Yang, Patrick C. K. Luk:
Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration - International Conference on Life System Modeling and Simulation, LSMS 2017 - and - International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Nanjing, China, September 22-24, 2017, Proceedings, Part III. Communications in Computer and Information Science 763, Springer 2017, ISBN 978-981-10-6363-3 [contents] - 2016
- [j56]Weihua Deng, Kang Li, Jing Deng:
Identification and guaranteed performance control of Hammerstein systems over wireless channels. Int. J. Autom. Comput. 13(2): 125-132 (2016) - [j55]Min Zheng, Zheng Mao, Kang Li, Minrui Fei:
Quadratic separation framework for stability analysis of a class of systems with time delays. Neurocomputing 174: 466-474 (2016) - [j54]Yongling Wu, Xiaodong Zhao, Kang Li, Min Zheng, Shaoyuan Li:
Energy saving - Another perspective for parameter optimization of P and PI controllers. Neurocomputing 174: 500-513 (2016) - [j53]Juan Yan, Kang Li, Er-Wei Bai, Zhile Yang, Aoife Foley:
Time series wind power forecasting based on variant Gaussian Process and TLBO. Neurocomputing 189: 135-144 (2016) - [c54]Wen-Xiao Zhao, Han-Fu Chen, Er-Wei Bai, Kang Li:
Strong consistency of kernel-based local variable selection for nonlinear nonparametric systems. AuCC 2016: 221-225 - [c53]Zhile Yang, Kang Li, Xiandong Xu:
A hybrid meta-heuristic method for unit commitment considering flexible charging and discharging of plug-in electric vehicles. CEC 2016: 2014-2020 - [c52]Kailong Liu, Kang Li, Zhile Yang, Cheng Zhang, Jing Deng:
Battery optimal charging strategy based on a coupled thermoelectric model. CEC 2016: 5084-5091 - [c51]Jeonghwan Park, Kang Li, Huiyu Zhou:
k-fold Subsampling based Sequential Backward Feature Elimination. ICPRAM 2016: 423-430 - [c50]Yusheng Xue, Jie Huang, Chao Jiang, Kang Li, Feng Qian, Xiaohao Wei:
Sensitivity study of key factors influencing emission market based on hybrid simulations. SmartGridComm 2016: 199-204 - [c49]Kailong Liu, Kang Li, Jianhua Zhang, Mingming Lin:
Modeling of Organic Rankine Cycle for waste heat recovery using RBF neural networks. SSCI 2016: 1-8 - 2015
- [b1]Kang Li:
Advanced methods for nonlinear system modelling and identification. Queen's University Belfast, UK, 2015 - [j52]Wen-Xiao Zhao, Han-Fu Chen, Er-Wei Bai, Kang Li:
Kernel-based local order estimation of nonlinear nonparametric systems. Autom. 51: 243-254 (2015) - [j51]Long Zhang, Kang Li:
Forward and backward least angle regression for nonlinear system identification. Autom. 53: 94-102 (2015) - [j50]Kang Li, Seán F. McLoone, Ling Wang:
Intelligent Computing for Sustainable Energy and Environment (ICSEE 2012). Neurocomputing 148: 198-199 (2015) - [j49]Guofu Zhai, Jinbao Chen, Shujuan Wang, Kang Li, Long Zhang:
Material identification of loose particles in sealed electronic devices using PCA and SVM. Neurocomputing 148: 222-228 (2015) - [j48]Long Zhang, Kang Li, Er-Wei Bai, George W. Irwin:
Two-Stage Orthogonal Least Squares Methods for Neural Network Construction. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1608-1621 (2015) - [c48]Zhile Yang, Kang Li, Qun Niu, Aoife Foley:
Unit commitment considering multiple charging and discharging scenarios of plug-in electric vehicles. IJCNN 2015: 1-8 - 2014
- [j47]Er-Wei Bai, Kang Li, Wen-Xiao Zhao, Weiyu Xu:
Kernel based approaches to local nonlinear non-parametric variable selection. Autom. 50(1): 100-113 (2014) - [j46]Min Zheng, Kang Li, Minrui Fei:
Comments on "Wirtinger-based integral inequality: Application to time-delay systems [Automatica 49 (2013) 2860-2866]". Autom. 50(1): 300-301 (2014) - [j45]Wenju Zhou, Minrui Fei, Huiyu Zhou, Kang Li:
A sparse representation based fast detection method for surface defect detection of bottle caps. Neurocomputing 123: 406-414 (2014) - [j44]Dajun Du, Kang Li, Xue Li, Minrui Fei, Haikuan Wang:
A multi-output two-stage locally regularized model construction method using the extreme learning machine. Neurocomputing 128: 104-112 (2014) - [j43]Dajun Du, Kang Li, Xue Li, Minrui Fei:
A novel forward gene selection algorithm for microarray data. Neurocomputing 133: 446-458 (2014) - [j42]Aolei Yang, Wasif Naeem, George W. Irwin, Kang Li:
Stability Analysis and Implementation of a Decentralized Formation Control Strategy for Unmanned Vehicles. IEEE Trans. Control. Syst. Technol. 22(2): 706-720 (2014) - [c47]Zhile Yang, Kang Li, Aoife Foley, Cheng Zhang:
A new self-learning TLBO algorithm for RBF neural modelling of batteries in electric vehicles. IEEE Congress on Evolutionary Computation 2014: 2685-2691 - [c46]Zhile Yang, Kang Li, Qun Niu, Cheng Zhang, Aoife Foley:
Non-convex dynamic economic/environmental dispatch with plug-in electric vehicle loads. CIASG 2014: 59-65 - [c45]Cheng Zhang, Kang Li, Seán F. McLoone, Zhile Yang:
Battery modelling methods for electric vehicles - A review. ECC 2014: 2673-2678 - [c44]Zhile Yang, Kang Li, Yuanjun Guo:
A New Compact Teaching-Learning-Based Optimization Method. ICIC (2) 2014: 717-726 - [c43]Er-Wei Bai, Kang Li, Paul Kump:
Variable selection by RIVAL. MED 2014: 913-917 - 2013
- [j41]Padhraig Gormley, Kang Li, Olaf Wolkenhauer, George W. Irwin, Dajun Du:
Reverse Engineering of Biochemical Reaction Networks Using Co-evolution with Eng-Genes. Cogn. Comput. 5(1): 106-118 (2013) - [j40]Dajun Du, Kang Li, George W. Irwin, Jing Deng:
A novel automatic two-stage locally regularized classifier construction method using the extreme learning machine. Neurocomputing 102: 10-22 (2013) - [j39]Weihua Deng, Kang Li, George W. Irwin, Minrui Fei:
Identification and control of Hammerstein systems via wireless networks. Int. J. Syst. Sci. 44(9): 1613-1625 (2013) - [j38]Long Zhang, Kang Li, Er-Wei Bai:
A New Extension of Newton Algorithm for Nonlinear System Modelling Using RBF Neural Networks. IEEE Trans. Autom. Control. 58(11): 2929-2933 (2013) - [j37]Wanqing Zhao, Qun Niu, Kang Li, George W. Irwin:
A Hybrid Learning Method for Constructing Compact Rule-Based Fuzzy Models. IEEE Trans. Cybern. 43(6): 1807-1821 (2013) - [j36]Wanqing Zhao, Kang Li, George W. Irwin:
A New Gradient Descent Approach for Local Learning of Fuzzy Neural Models. IEEE Trans. Fuzzy Syst. 21(1): 30-44 (2013) - [j35]Long Zhang, Kang Li, Haibo He, George W. Irwin:
A New Discrete-Continuous Algorithm for Radial Basis Function Networks Construction. IEEE Trans. Neural Networks Learn. Syst. 24(11): 1785-1798 (2013) - [c42]Ning Li Lu Wang, Shaoyuan Li, Kang Li:
Neural network based model predictive control performance monitoring-data-driven approach. ASCC 2013: 1-6 - [c41]Xiaohong Yin, Shaoyuan Li, Jing Wu, Ning Li, Wenjian Cai, Kang Li:
Data-driven based predictive controller design for vapor compression refrigeration cycle systems. ASCC 2013: 1-6 - [c40]Yuan Zhang, Jing Wu, Ning Li, Shaoyuan Li, Kang Li:
Data-driven water supply systems modelling. ASCC 2013: 1-6 - [c39]Wen-Xiao Zhao, Han-Fu Chen, Er-Wei Bai, Kang Li:
A local information criterion for order identification of nonlinear ARX systems. ASCC 2013: 1-6 - [c38]Chamil Abeykoon, Adrian L. Kelly, Peter J. Martin, Kang Li:
Dynamic modelling of die melt temperature profile in polymer extrusion. CDC 2013: 2550-2555 - [c37]Long Zhang, Kang Li, Er-Wei Bai:
A novel LOO based two-stage method for automatic model identification of a class of nonlinear dynamic systems. CDC 2013: 4290-4295 - [c36]Er-Wei Bai, Kang Li, Wen-Xiao Zhao, Weiyu Xu:
Local variable selection and dimension determination of nonlinear non-parametric systems. CDC 2013: 4296-4301 - [c35]Wenlong Liao, Weidong Chen, Zhixuan Wei, Wenxi Zhang, Jingchuan Wang, Kang Li:
An Open-Source Development and Simulation Platform for Smart Wheelchairs. ICIRA (1) 2013: 295-306 - [c34]Zhixuan Wei, Weidong Chen, Jingchuan Wang, Huiyu Wang, Kang Li:
Semantic Mapping for Safe and Comfortable Navigation of a Brain-Controlled Wheelchair. ICIRA (1) 2013: 307-317 - [c33]Hesheng Wang, Maojiao Cai, Weidong Chen, Meng Li, Kang Li:
Robot Surgery Simulation System for Soft Tissue Cutting. ICIRA (2) 2013: 535-544 - [c32]Jing Deng, Kang Li, Eileen Harkin-Jones, Minrui Fei, Shaoyuan Li:
A novel two stage algorithm for construction of RBF neural models based on A-optimality criterion. ICNC 2013: 1-7 - [c31]Xin Cai, Shaoyuan Li, Ning Li, Kang Li:
On Variation of Infinite Horizon Performance of Model Predictive Control with Varying Receding Horizon. ICONS 2013: 701-706 - [c30]Long Zhang, Kang Li, Shujuan Wang, Guofu Zhai, Shaoyuan Li:
Loose Particle Classification Using a New Wavelet Fisher Discriminant Method. ISNN (1) 2013: 582-593 - [c29]Guido Maione, Antonio Punzi, Kang Li:
A comparative study on differential evolution with other heuristic methods for continuous optimization. MED 2013: 1356-1361 - [c28]Han Zhang, Weidong Chen, Jingchuan Wang, Kang Li:
Human interest oriented heterogeneous multi-robot exploration under connectivity constraints. ROBIO 2013: 976-981 - [c27]Jian Yang, Hesheng Wang, Weidong Chen, Kang Li:
Time-jerk optimal trajectory planning for robotic manipulators. ROBIO 2013: 2257-2262 - [c26]Kang Li, Yongling Wu, Shaoyuan Li, Yugeng Xi:
Energy Saving and System Performance - An Art of Trade-Off for Controller Design. SMC 2013: 4737-4742 - 2012
- [j34]Paul Kump, Er-Wei Bai, Kung-Sik Chan, Bill Eichinger, Kang Li:
Variable selection via RIVAL (removing irrelevant variables amidst Lasso iterations) and its application to nuclear material detection. Autom. 48(9): 2107-2115 (2012) - [j33]Hui Pan, Minrui Fei, Ling Wang, Kang Li, Lin Qian:
Direct Nyquist array design of PID controllers for boiler-turbine units based on gain and phase margins. Int. J. Comput. Appl. Technol. 43(1): 4-12 (2012) - [j32]Minrui Fei, Weihua Deng, Kang Li, Yang Song:
Stabilisation of a class of networked control systems with stochastic properties. Int. J. Model. Identif. Control. 17(1): 1-7 (2012) - [j31]Kang Li, Xia Hong, Guido Maione, Qun Niu:
Bio-inspired computing and applications (LSMS-ICSEE, 2010). Neurocomputing 98: 1-3 (2012) - [j30]Jing Deng, Kang Li, George W. Irwin:
Locally regularised two-stage learning algorithm for RBF network centre selection. Int. J. Syst. Sci. 43(6): 1157-1170 (2012) - [j29]Kang Li, Haibo He, Qun Niu:
Intelligent computing and applications (LSMS and ICSEE 2010). Neural Comput. Appl. 21(6): 1085-1086 (2012) - [j28]Xueqin Amy Liu, Kang Li, Marion McAfee, Jing Deng:
Application of nonlinear PCA for fault detection in polymer extrusion processes. Neural Comput. Appl. 21(6): 1141-1148 (2012) - [j27]Barbara Pizzileo, Kang Li, George W. Irwin, Wanqing Zhao:
Improved Structure Optimization for Fuzzy-Neural Networks. IEEE Trans. Fuzzy Syst. 20(6): 1076-1089 (2012) - [c25]Aolei Yang, Wasif Naeem, George W. Irwin, Kang Li:
Novel decentralised formation control for unmanned vehicles. Intelligent Vehicles Symposium 2012: 13-18 - 2011
- [j26]Jing Deng, Kang Li, George W. Irwin:
Fast automatic two-stage nonlinear model identification based on the extreme learning machine. Neurocomputing 74(16): 2422-2429 (2011) - [j25]Wen Yu, Kang Li, Xiaoou Li:
Automated nonlinear system modelling with multiple neural networks. Int. J. Syst. Sci. 42(10): 1683-1695 (2011) - [j24]Xiao-Lei Xia, Kang Li, George W. Irwin:
A hierarchical multiclass support vector machine incorporated with holistic triple learning units. Soft Comput. 15(5): 833-843 (2011) - [c24]Wanqing Zhao, Kang Li, George W. Irwin, Qun Niu:
A Hybrid Approach to Locally Optimized Interpretable Partitions of Fuzzy Neural Models. IJCCI (ECTA-FCTA) 2011: 461-465 - [c23]Xiaoqing Tang, Qun Niu, Kang Li, George W. Irwin:
A particle swarm optimization solution for economic dispatch. ISGT Europe 2011: 1-5 - 2010
- [j23]Er-Wei Bai, Kang Li:
Convergence of the iterative algorithm for a general Hammerstein system identification. Autom. 46(11): 1891-1896 (2010) - [j22]Kang Li, Jing Deng, Haibo He, Dajun Du:
Compact Extreme Learning Machines for biological systems. Int. J. Comput. Biol. Drug Des. 3(2): 112-132 (2010) - [j21]Dajun Du, Kang Li, Minrui Fei:
A fast multi-output RBF neural network construction method. Neurocomputing 73(10-12): 2196-2202 (2010) - [c22]Jing Deng, Kang Li, George W. Irwin, Robert F. Harrison:
A fast automatic construction algorithm for kernel fisher discriminant classifiers. CDC 2010: 2825-2830 - [c21]Xueqin Amy Liu, Kang Li, Marion McAfee, Jing Deng:
'Soft-sensor' for real-time monitoring of melt viscosity in polymer extrusion process. CDC 2010: 3469-3474 - [c20]Wanqing Zhao, Kang Li, George W. Irwin, Minrui Fei:
An Integrated Method for the Construction of Compact Fuzzy Neural Models. ICIC (1) 2010: 102-109 - [c19]Minrui Fei, Weihua Deng, Kang Li, Yang Song:
Stabilization of a Class of Networked Control Systems with Random Packet Loss. LSMS/ICSEE (1) 2010: 1-6 - [c18]Xueqin Amy Liu, Kang Li, Marion McAfee, Jing Deng:
Improved Nonlinear PCA Based on RBF Networks and Principal Curves. LSMS/ICSEE (1) 2010: 7-15 - [c17]Chamil Abeykoon, Marion McAfee, Kang Li, Peter J. Martin, Jing Deng, Adrian L. Kelly:
Modelling the Effects of Operating Conditions on Motor Power Consumption in Single Screw Extrusion. LSMS/ICSEE (2) 2010: 9-20 - [c16]Jing Deng, Kang Li, George W. Irwin, Minrui Fei:
Fast Forward RBF Network Construction Based on Particle Swarm Optimization. LSMS/ICSEE (2) 2010: 40-48 - [c15]Dajun Du, Minrui Fei, Kang Li:
Stability Analysis of Multi-channel MIMO Networked Control Systems. LSMS/ICSEE (1) 2010: 62-68 - [c14]Aolei Yang, Qun Niu, Wanqing Zhao, Kang Li, George W. Irwin:
An Efficient Algorithm for Grid-Based Robotic Path Planning Based on Priority Sorting of Direction Vectors. LSMS/ICSEE (2) 2010: 456-466 - [e8]Kang Li, Minrui Fei, Li Jia, George W. Irwin:
Life System Modeling and Intelligent Computing, International Conference on Life System Modeling and Simulation, LSMS 2010, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, Wuxi, China, September 17-20, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6328, Springer 2010, ISBN 978-3-642-15620-5 [contents] - [e7]Kang Li, Minrui Fei, Li Jia, George W. Irwin:
Life System Modeling and Intelligent Computing, International Conference on Life System Modeling and Simulation, LSMS 2010, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, Wuxi, China, September 17-20, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6329, Springer 2010, ISBN 978-3-642-15596-3 [contents] - [e6]Kang Li, Li Jia, Xin Sun, Minrui Fei, George W. Irwin:
Life System Modeling and Intelligent Computing - International Conference on Life System Modeling and Simulation, LSMS 2010, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, Wuxi, China, September 17-20, 2010. Proceedings, Part III. Lecture Notes in Computer Science 6330, Springer 2010, ISBN 978-3-642-15614-4 [contents]
2000 – 2009
- 2009
- [j20]Xiao-Lei Xia, Kang Li, George W. Irwin:
Two-stage gene selection for support vector machine classification of microarray data. Int. J. Model. Identif. Control. 8(2): 164-171 (2009) - [j19]Barbara Pizzileo, Kang Li, George W. Irwin:
A fast method for fuzzy neural network modelling and refinement. Int. J. Model. Identif. Control. 8(3): 175-183 (2009) - [j18]Kang Li, Jian Xun Peng, Er-Wei Bai:
Two-Stage Mixed Discrete-Continuous Identification of Radial Basis Function (RBF) Neural Models for Nonlinear Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 56-I(3): 630-643 (2009) - [c13]Barbara Pizzileo, Kang Li, George W. Irwin:
A new algorithm for structure optimization in fuzzy neural networks. ICONS 2009: 1-6 - 2008
- [j17]Minrui Fei, Dajun Du, Kang Li:
A fast model identification method for networked control system. Appl. Math. Comput. 205(2): 658-667 (2008) - [j16]Jair Cervantes, Xiaoou Li, Wen Yu, Kang Li:
Support vector machine classification for large data sets via minimum enclosing ball clustering. Neurocomputing 71(4-6): 611-619 (2008) - [j15]Patrick J. Connally, Kang Li, George W. Irwin:
Integrated structure selection and parameter optimisation for eng-genes neural models. Neurocomputing 71(13-15): 2964-2977 (2008) - [j14]Kang Li, Xia Hong, George W. Irwin:
Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007). Neurocomputing 72(1-3): 126-127 (2008) - [j13]Xia Hong, Richard J. Mitchell, Sheng Chen, Chris J. Harris, Kang Li, George W. Irwin:
Model selection approaches for non-linear system identification: a review. Int. J. Syst. Sci. 39(10): 925-946 (2008) - [j12]Jian Xun Peng, Kang Li, George W. Irwin:
A New Jacobian Matrix for Optimal Learning of Single-Layer Neural Networks. IEEE Trans. Neural Networks 19(1): 119-129 (2008) - 2007
- [j11]Jian Xun Peng, Kang Li, Steve Thompson, Peter A. Wieringa:
Distribution-based adaptive bounding genetic algorithm for continuous optimisation problems. Appl. Math. Comput. 185(2): 1063-1077 (2007) - [j10]Zhihong Yao, Minrui Fei, Kang Li, Hainan Kong, Bo Zhao:
Recognition of blue-green algae in lakes using distributive genetic algorithm-based neural networks. Neurocomputing 70(4-6): 641-647 (2007) - [j9]Kang Li, Jian Xun Peng:
Neural input selection - A fast model-based approach. Neurocomputing 70(4-6): 762-769 (2007) - [j8]Patrick J. Connally, Kang Li, George W. Irwin:
Prediction- and simulation-error based perceptron training: Solution space analysis and a novel combined training scheme. Neurocomputing 70(4-6): 819-827 (2007) - [j7]Chun-Hou Zheng, De-Shuang Huang, Kang Li, George W. Irwin, Zhan-Li Sun:
MISEP Method for Postnonlinear Blind Source Separation. Neural Comput. 19(9): 2557-2578 (2007) - [j6]Jian Xun Peng, Kang Li, George W. Irwin:
A Novel Continuous Forward Algorithm for RBF Neural Modelling. IEEE Trans. Autom. Control. 52(1): 117-122 (2007) - [c12]Barbara Pizzileo, Kang Li:
A New Fast Algorithm for Fuzzy Rule Selection. FUZZ-IEEE 2007: 1-6 - [c11]Kang Li, Jian Xun Peng, Minrui Fei, Xiaoou Li, Wen Yu:
Integrated Analytic Framework for Neural Network Construction. ISNN (2) 2007: 483-492 - [c10]Barbara Pizzileo, Kang Li, George W. Irwin:
A Fast Fuzzy Neural Modelling Method for Nonlinear Dynamic Systems. ISNN (1) 2007: 496-504 - [c9]Padhraig Gormley, Kang Li, George W. Irwin:
Modelling the MAPK Signalling Pathway Using a Two-Stage Identification Algorithm. LSMS (2) 2007: 480-491 - [c8]Minrui Fei, Dajun Du, Kang Li:
Two-Layer Networked Learning Control of a Nonlinear HVAC System. LSMS (1) 2007: 697-709 - [e5]Kang Li, Minrui Fei, George W. Irwin, Shiwei Ma:
Bio-Inspired Computational Intelligence and Applications, International Conference on Life System Modeling and Simulation, LSMS 2007, Shanghai, China, September 14-17, 2007, Proceedings. Lecture Notes in Computer Science 4688, Springer 2007, ISBN 978-3-540-74768-0 [contents] - [e4]Kang Li, Xin Li, George W. Irwin, Guosen He:
Life System Modeling and Simulation, International Conference, LSMS 2007, Shanghai, China, September 14-17, 2007, Proceedings. Lecture Notes in Computer Science 4689, Springer 2007, ISBN 978-3-540-74770-3 [contents] - 2006
- [j5]Kang Li, Jian Xun Peng, Er-Wei Bai:
A two-stage algorithm for identification of nonlinear dynamic systems. Autom. 42(7): 1189-1197 (2006) - [j4]Kang Li, Jian Xun Peng:
System oriented neural networks -- problem formulation, methodology and application. Int. J. Pattern Recognit. Artif. Intell. 20(2): 143-158 (2006) - [j3]Jian Xun Peng, Kang Li, De-Shuang Huang:
A Hybrid Forward Algorithm for RBF Neural Network Construction. IEEE Trans. Neural Networks 17(6): 1439-1451 (2006) - [c7]Kang Li, Jian Xun Peng, Minrui Fei:
Real-Time Construction of Neural Networks. ICANN (1) 2006: 140-149 - [c6]Patrick J. Connally, Kang Li, George W. Irwin:
Integrated Structure and Parameter Selection for Eng-genes Neural Models. ICIC (1) 2006: 168-177 - [c5]Shun Pei, De-Shuang Huang, Kang Li, George W. Irwin:
Gene Selection by Cooperative Competition Clustering. ICIC (3) 2006: 464-474 - [c4]Xing Yan, Lei Cao, De-Shuang Huang, Kang Li, George W. Irwin:
A Novel Feature Fusion Approach Based on Blocking and Its Application in Image Recognition. ICIC (1) 2006: 1085-1091 - [c3]Jian Zhang, Minrui Fei, Kang Li, Qiang Zhu:
Fuzzy Modeling of a Medium-Speed Pulverizer Using Improved Genetic Algorithms. ICIC (1) 2006: 1269-1274 - [c2]Kang Li, Barbara Pizzileo, Adetutu Ogle, Colm Scott:
Staged Neural Modeling with Application to Prediction of NOx Pollutant Concentrations in Urban Air. ICIC (1) 2006: 1282-1293 - [e3]De-Shuang Huang, Kang Li, George W. Irwin:
Intelligent Computing, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I. Lecture Notes in Computer Science 4113, Springer 2006, ISBN 3-540-37271-7 [contents] - [e2]De-Shuang Huang, Kang Li, George W. Irwin:
Computational Intelligence, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part II. Lecture Notes in Computer Science 4114, Springer 2006, ISBN 3-540-37274-1 [contents] - [e1]De-Shuang Huang, Kang Li, George W. Irwin:
Computational Intelligence and Bioinformatics, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part III. Lecture Notes in Computer Science 4115, Springer 2006, ISBN 3-540-37277-6 [contents] - 2005
- [j2]Kang Li, Jian Xun Peng, George W. Irwin:
A Fast Nonlinear Model Identification Method. IEEE Trans. Autom. Control. 50(8): 1211-1216 (2005) - [c1]Kang Li, Jian Xun Peng:
A Fast Input Selection Algorithm for Neural Modeling of Nonlinear Dynamic Systems. ICIC (1) 2005: 1045-1054
1990 – 1999
- 1996
- [j1]Kang Li, Yugeng Xi, Zhongjun Zhang:
G-cactus and new results on structural controllability of composite systems. Int. J. Syst. Sci. 27(12): 1313-1326 (1996)
Coauthor Index
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