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ORCIDLi Jia 0002
Person information
- affiliation: Shanghai University, College of Mechatronics Engineering and Automation, Department of Automation, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, China
- affiliation (2003 - 2005): National University of Singapore, Department of Chemical & Biomolecular Engineering, Singapore
- affiliation (PhD 2003): East China University of Science and Technology, Shanghai, China
Other persons with the same name
- Li Jia — disambiguation page
- Li Jia 0001
![[0000-0002-3108-8645]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3108-8645")
— Chinese Academy of Sciences, Aerospace Information Research Institute, State Key Laboratory of Remote Sensing Science, Beijing, China (and 1 more) - Li Jia 0003 — North University of China, School of Instrument and Electronics, tate Key Laboratory of Dynamic Measurement Technology, Taiyuan, China
- Li Jia 0004 — Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Space-Ground Interconnection and Convergence, Beijing, China
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2020 – today
- 2024
[j22]Cheng-Cheng Wang, Yu-Long Wang, Li Jia:
Multi-USV Formation Collision Avoidance via Deep Reinforcement Learning and COLREGs. IEEE CAA J. Autom. Sinica 11(11): 2349-2351 (2024)- [j21]Yang Ge, Yang Zhou, Li Jia:
Adaptive Personalized Federated Learning With One-Shot Screening. IEEE Internet Things J. 11(9): 15375-15385 (2024) - [j20]Yang Li, Okyay Kaynak, Li Jia, Chun Liu, Yu-Long Wang, Enrico Zio:
A Generalized Testing Model for Interval Lifetime Analysis Based on Mixed Wiener Accelerated Degradation Process. IEEE Internet Things J. 11(23): 37525-37535 (2024) - [j19]Yang Zhou, Yang Ge, Li Jia:
Double Robust Federated Digital Twin Modeling in Smart Grid. IEEE Internet Things J. 11(24): 39913-39931 (2024) - [j18]Yang Li, Minrui Fei, Li Jia, Ningyun Lu, Okyay Kaynak, Enrico Zio:
Novel Outlier-Robust Accelerated Degradation Testing Model and Lifetime Analysis Method Considering Time-Stress-Dependent Factors. IEEE Trans. Ind. Informatics 20(8): 9907-9917 (2024) - [j17]Rui Hou, Li Jia, Xuhui Bu, Chengyu Zhou:
Dynamic Neural Network Predictive Compensation-Based Point-to-Point Iterative Learning Control With Nonuniform Batch Length. IEEE Trans. Neural Networks Learn. Syst. 35(9): 13005-13016 (2024) - [c16]Bo Zhu, Li Jia, Jianfang Li:
A Hybrid Estimation of Distribution Algorithm with Monarch Butterfly Optimization. CSCWD 2024: 1870-1875 - [i1]Weiliang Chen, Li Jia, Yang Zhou, Qianqian Ren:
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain. CoRR abs/2407.19428 (2024) - 2023
- [j16]Yang Li, Shuiqing Xu, Hongtian Chen, Li Jia, Kun Ma:
A General Degradation Process of Useful Life Analysis Under Unreliable Signals for Accelerated Degradation Testing. IEEE Trans. Ind. Informatics 19(6): 7742-7750 (2023) - 2021
- [j15]Feng Li, Keming Yao, Bo Li, Li Jia:
A novel learning algorithm of the neuro-fuzzy based Hammerstein-Wiener model corrupted by process noise. J. Frankl. Inst. 358(3): 2115-2137 (2021) - 2020
- [j14]Bensheng Lyu, Li Jia, Feng Li:
Parameter Estimation of Neuro-Fuzzy Wiener Model With Colored Noise Using Separable Signals. IEEE Access 8: 67047-67058 (2020) - [j13]Bensheng Lyu, Li Jia, Feng Li:
Neuro-fuzzy based identification of Hammerstein OEAR systems. Comput. Chem. Eng. 141: 106984 (2020) - [j12]Liuming Zhou, Li Jia, Yu-Long Wang:
A just-in-time-learning based two-dimensional control strategy for nonlinear batch processes. Inf. Sci. 507: 220-239 (2020)
2010 – 2019
- 2019
- [j11]Liuming Zhou, Li Jia, Yu-Long Wang:
Quadratic-Criterion-Based Model Predictive Iterative Learning Control for Batch Processes Using Just-in-Time-Learning Method. IEEE Access 7: 113335-113344 (2019) - [j10]Liuming Zhou, Li Jia, Yu-Long Wang:
A robust integrated model predictive iterative learning control strategy for batch processes. Sci. China Inf. Sci. 62(11): 219202 (2019) - [j9]Li Jia, Yangyang Li, Feng Li:
Correlation Analysis Algorithm-Based Multiple-Input Single-Output Wiener Model with Output Noise. Complex. 2019: 9650254:1-9650254:13 (2019) - [j8]Feng Li, Li Jia:
Parameter estimation of Hammerstein-Wiener nonlinear system with noise using special test signals. Neurocomputing 344: 37-48 (2019) - 2018
- [c15]Yongsheng Wei, Yanyan Liu, Li Jia, Xianchao Xiu, Jingjing Liu:
Foreground Extraction via the Tensor-Based RPCA with Non-Convex Fused Sparsity. ICNC-FSKD 2018: 624-630 - 2017
- [j7]Feng Li, Li Jia, Daogang Peng, Chao Han:
Neuro-fuzzy based identification method for Hammerstein output error model with colored noise. Neurocomputing 244: 90-101 (2017) - [j6]Li Jia, Qiliang Feng:
Combined separable signals based neuro-fuzzy Hammerstein-Wiener model. Memetic Comput. 9(3): 245-259 (2017) - [c14]Huifeng Tian, Li Jia:
Dynamic Process Fault Isolation and Diagnosis Using Improved Fisher Discriminant Analysis and Relative Error of Variance. LSMS/ICSEE (2) 2017: 201-211 - [c13]Liuming Zhou, Li Jia:
An LMI Approach to Iterative Learning Control Based on JITL for Batch Processes. LSMS/ICSEE (2) 2017: 212-222 - [c12]Feng Li, Li Jia, Qi Xiong:
Identification Approach of Hammerstein-Wiener Model Corrupted by Colored Process Noise. LSMS/ICSEE (1) 2017: 432-441 - [c11]Wencheng Huang, Li Jia, Daogang Peng:
New Framework Mining Algorithm Based Main Operation Parameters Optimization in Power Plant. LSMS/ICSEE (3) 2017: 488-496 - 2016
- [j5]Li Jia, Xunlong Li, Min-Sen Chiu:
The identification of neuro-fuzzy based MIMO Hammerstein model with separable input signals. Neurocomputing 174: 530-541 (2016) - [c10]Chao Han, Li Jia:
An Integrated Model Predictive Iterative Learning Control Strategy for Batch Processes. AsiaSim/SCS AutumnSim (1) 2016: 127-135 - 2015
- [j4]Ling Wang, Haoqi Ni, Ruixin Yang, Panos M. Pardalos, Li Jia, Minrui Fei:
Intelligent virtual reference feedback tuning and its application to heat treatment electric furnace control. Eng. Appl. Artif. Intell. 46: 1-9 (2015) - [j3]Li Jia, Kai Yuan:
The probability density function based neuro-fuzzy model and its application in batch processes. Neurocomputing 148: 216-221 (2015) - 2012
- [j2]Li Jia, Jiping Shi, Min-Sen Chiu:
Integrated neuro-fuzzy model and dynamic R-parameter based quadratic criterion-iterative learning control for batch process. Neurocomputing 98: 24-33 (2012) - [j1]Li Jia, Dashuai Cheng, Min-Sen Chiu:
Pareto-optimal solutions based multi-objective particle swarm optimization control for batch processes. Neural Comput. Appl. 21(6): 1107-1116 (2012) - 2010
- [c9]Li Jia, Dashuai Cheng, Luming Cao, Zongjun Cai, Min-Sen Chiu:
Multi-objective Particle Swarm Optimization Control Technology and Its Application in Batch Processes. LSMS/ICSEE (1) 2010: 36-44 - [c8]Jianguo Wang, Shiwei Ma, Xiaowei Gou, Ling Wang, Li Jia:
Optimal Tracking Performance for Unstable Processes with NMP Zeroes. LSMS/ICSEE (2) 2010: 69-74 - [c7]Li Jia, Jiping Shi, Dashuai Cheng, Luming Cao, Min-Sen Chiu:
Batch-to-Batch Iterative Optimal Control of Batch Processes Based on Dynamic Quadratic Criterion. LSMS/ICSEE (1) 2010: 112-119 - [c6]Li Jia, Jiping Shi, Dashuai Cheng, Luming Cao, Min-Sen Chiu:
Iterative Learning Control Based on Integrated Dynamic Quadratic Criterion for Batch Processes. LSMS/ICSEE (2) 2010: 493-498
2000 – 2009
- 2008
- [c5]Li Jia, Pengye Tao, Guang-Bo Chen, Min-Sen Chiu:
An Analytical Adaptive Single-Neuron Compensation Control Law for Nonlinear Process. ICIC (1) 2008: 850-857 - 2007
- [c4]He Liu, Dao Huang, Li Jia:
Dynamic System Modeling with Multilayer Recurrent Fuzzy Neural Network. CIS 2007: 570-574 - [c3]Li Jia, Pengye Tao, Min-Sen Chiu:
Fuzzy Neural Network-Based Adaptive Single Neuron Controller. LSMS (1) 2007: 412-423 - 2006
- [c2]Li Jia, Min-Sen Chiu:
Adaptive Feedback-Feedforward Control for a Class of Nonlinear Chemical Processes. ICICIC (1) 2006: 93-96 - 2005
- [c1]Li Jia, Shuzhi Sam Ge, Min-Sen Chiu:
Adaptive Neuro-Fuzzy Control of Non-Affine Nonlinear Systems. ISIC 2005: 286-291
Coauthor Index
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