Adaptive Neuro-Fuzzy Control of Non-Affine Nonlinear Systems. - Li Jia 002; Shuzhi Sam Ge; Min-Sen Chiu (ISIC, 2005)

Adaptive Feedback-Feedforward Control for a Class of Nonlinear Chemical Processes. - Li Jia 002; Min-Sen Chiu (ICICIC (1), 2006)

Dynamic System Modeling with Multilayer Recurrent Fuzzy Neural Network. - He Liu; Dao Huang; Li Jia 002 (CIS, 2007)

Fuzzy Neural Network-Based Adaptive Single Neuron Controller. - Li Jia 002; Pengye Tao; Min-Sen Chiu (LSMS (1), 2007)

An Analytical Adaptive Single-Neuron Compensation Control Law for Nonlinear Process. - Li Jia 002; Pengye Tao; Guang-Bo Chen; Min-Sen Chiu (ICIC (1), 2008)

Multi-objective Particle Swarm Optimization Control Technology and Its Application in Batch Processes. - Li Jia 002; Dashuai Cheng; Luming Cao; Zongjun Cai; Min-Sen Chiu (LSMS/ICSEE (1), 2010)

Batch-to-Batch Iterative Optimal Control of Batch Processes Based on Dynamic Quadratic Criterion. - Li Jia 002; Jiping Shi; Dashuai Cheng; Luming Cao; Min-Sen Chiu (LSMS/ICSEE (1), 2010)

Iterative Learning Control Based on Integrated Dynamic Quadratic Criterion for Batch Processes. - Li Jia 002; Jiping Shi; Dashuai Cheng; Luming Cao; Min-Sen Chiu (LSMS/ICSEE (2), 2010)

Optimal Tracking Performance for Unstable Processes with NMP Zeroes. - Jianguo Wang; Shiwei Ma; Xiaowei Gou; Ling Wang 009; Li Jia 002 (LSMS/ICSEE (2), 2010)

Integrated neuro-fuzzy model and dynamic R-parameter based quadratic criterion-iterative learning control for batch process. - Li Jia 002; Jiping Shi; Min-Sen Chiu (Neurocomputing, 2012)

Pareto-optimal solutions based multi-objective particle swarm optimization control for batch processes. - Li Jia 002; Dashuai Cheng; Min-Sen Chiu (Neural Comput. Appl., 2012)

Intelligent virtual reference feedback tuning and its application to heat treatment electric furnace control. - Ling Wang 009; Haoqi Ni; Ruixin Yang; Panos M. Pardalos; Li Jia 002; Minrui Fei (Eng. Appl. Artif. Intell., 2015)

The probability density function based neuro-fuzzy model and its application in batch processes. - Li Jia 002; Kai Yuan (Neurocomputing, 2015)

An Integrated Model Predictive Iterative Learning Control Strategy for Batch Processes. - Chao Han; Li Jia 002 (AsiaSim/SCS AutumnSim (1), 2016)

The identification of neuro-fuzzy based MIMO Hammerstein model with separable input signals. - Li Jia 002; Xunlong Li; Min-Sen Chiu (Neurocomputing, 2016)

New Framework Mining Algorithm Based Main Operation Parameters Optimization in Power Plant. - Wencheng Huang; Li Jia 002; Daogang Peng (LSMS/ICSEE (3), 2017)

Identification Approach of Hammerstein-Wiener Model Corrupted by Colored Process Noise. - Feng Li 023; Li Jia 002; Qi Xiong (LSMS/ICSEE (1), 2017)

Dynamic Process Fault Isolation and Diagnosis Using Improved Fisher Discriminant Analysis and Relative Error of Variance. - Huifeng Tian; Li Jia 002 (LSMS/ICSEE (2), 2017)

An LMI Approach to Iterative Learning Control Based on JITL for Batch Processes. - Liuming Zhou; Li Jia 002 (LSMS/ICSEE (2), 2017)

Neuro-fuzzy based identification method for Hammerstein output error model with colored noise. - Feng Li 023; Li Jia 002; Daogang Peng; Chao Han (Neurocomputing, 2017)

Combined separable signals based neuro-fuzzy Hammerstein-Wiener model. - Li Jia 002; Qiliang Feng (Memetic Comput., 2017)

Foreground Extraction via the Tensor-Based RPCA with Non-Convex Fused Sparsity. - Yongsheng Wei; Yanyan Liu; Li Jia 002; Xianchao Xiu; Jingjing Liu 004 (ICNC-FSKD, 2018)

Quadratic-Criterion-Based Model Predictive Iterative Learning Control for Batch Processes Using Just-in-Time-Learning Method. - Liuming Zhou; Li Jia 002; Yu-Long Wang (IEEE Access, 2019)

A robust integrated model predictive iterative learning control strategy for batch processes. - Liuming Zhou; Li Jia 002; Yu-Long Wang (Sci. China Inf. Sci., 2019)

Correlation Analysis Algorithm-Based Multiple-Input Single-Output Wiener Model with Output Noise. - Li Jia 002; Yangyang Li; Feng Li 023 (Complex., 2019)

Parameter estimation of Hammerstein-Wiener nonlinear system with noise using special test signals. - Feng Li 023; Li Jia 002 (Neurocomputing, 2019)

Parameter Estimation of Neuro-Fuzzy Wiener Model With Colored Noise Using Separable Signals. - Bensheng Lyu; Li Jia 002; Feng Li 023 (IEEE Access, 2020)

Neuro-fuzzy based identification of Hammerstein OEAR systems. - Bensheng Lyu; Li Jia 002; Feng Li 023 (Comput. Chem. Eng., 2020)

A just-in-time-learning based two-dimensional control strategy for nonlinear batch processes. - Liuming Zhou; Li Jia 002; Yu-Long Wang (Inf. Sci., 2020)

A novel learning algorithm of the neuro-fuzzy based Hammerstein-Wiener model corrupted by process noise. - Feng Li 023; Keming Yao; Bo Li 112; Li Jia 002 (J. Frankl. Inst., 2021)

A General Degradation Process of Useful Life Analysis Under Unreliable Signals for Accelerated Degradation Testing. - Yang Li 088; Shuiqing Xu; Hongtian Chen; Li Jia 002; Kun Ma 002 (IEEE Trans. Ind. Informatics, 2023)

A Hybrid Estimation of Distribution Algorithm with Monarch Butterfly Optimization. - Bo Zhu; Li Jia 002; Jianfang Li (CSCWD, 2024)

Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain. - Weiliang Chen; Li Jia 002; Yang Zhou; Qianqian Ren (CoRR, 2024)

Adaptive Personalized Federated Learning With One-Shot Screening. - Yang Ge; Yang Zhou; Li Jia 002 (IEEE Internet Things J., 2024)

Novel Outlier-Robust Accelerated Degradation Testing Model and Lifetime Analysis Method Considering Time-Stress-Dependent Factors. - Yang Li 088; Minrui Fei; Li Jia 002; Ningyun Lu; Okyay Kaynak; Enrico Zio (IEEE Trans. Ind. Informatics, 2024)

Dynamic Neural Network Predictive Compensation-Based Point-to-Point Iterative Learning Control With Nonuniform Batch Length. - Rui Hou; Li Jia 002; Xuhui Bu; Chengyu Zhou (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-USV Formation Collision Avoidance via Deep Reinforcement Learning and COLREGs. - Cheng-Cheng Wang; Yu-Long Wang; Li Jia 002 (IEEE CAA J. Autom. Sinica, 2024)

A Generalized Testing Model for Interval Lifetime Analysis Based on Mixed Wiener Accelerated Degradation Process. - Yang Li 088; Okyay Kaynak; Li Jia 002; Chun Liu 006; Yu-Long Wang; Enrico Zio (IEEE Internet Things J., 2024)

Double Robust Federated Digital Twin Modeling in Smart Grid. - Yang Zhou; Yang Ge; Li Jia 002 (IEEE Internet Things J., 2024)

Enhancing battery SOC estimation with BTGE: A novel synergy of filtering, Transformer, and ELM. - Bo Zhu; Li Jia 002; Quanke Pan; Hui Zhang (Expert Syst. Appl., 2025)

Prescribed Performance-Based Distributed Event-Triggered Data-Driven Frequency Control for Hybrid Power Systems Under Jamming Attacks. - Rui Hou; Li Jia 002; Xuhui Bu; Jianfang Li (IEEE Trans Autom. Sci. Eng., 2025)