Li Jia

44 papers C 2Journal 28Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data-driven co-design of adaptive FDI estimation and secure frequency predictive control for networked microgrids under hybrid cyberattacks.
Appl. Math. Comput.
Rui Hou, Li Jia, Xuhui Bu, Chen Peng
2026 J jnl
Event-Triggered Model-Free Adaptive Predictive Control for Networked Wind-Power Microgrids Subject to Aperiodic DoS Attacks.
IEEE Trans. Inf. Forensics Secur.
Rui Hou, Li Jia, Xuhui Bu, Jianfang Li
2026 J jnl
Mixture probability density function control based deep fuzzy-inference Wiener model with spatiotemporal correlation for wind power prediction.
Adv. Eng. Informatics
Jianfang Li, Li Jia, Yang Zhou, Chengyu Zhou
2025 J jnl
Enhancing battery SOC estimation with BTGE: A novel synergy of filtering, Transformer, and ELM.
Expert Syst. Appl.
Bo Zhu, Li Jia, Quanke Pan, Hui Zhang
2025 J jnl
Prescribed Performance-Based Distributed Event-Triggered Data-Driven Frequency Control for Hybrid Power Systems Under Jamming Attacks.
IEEE Trans Autom. Sci. Eng.
Rui Hou, Li Jia, Xuhui Bu, Jianfang Li
2024 J jnl
A Generalized Testing Model for Interval Lifetime Analysis Based on Mixed Wiener Accelerated Degradation Process.
IEEE Internet Things J.
Yang Li, Okyay Kaynak, Li Jia, Chun Liu, Yu-Long Wang, Enrico Zio
2024 C conf
A Hybrid Estimation of Distribution Algorithm with Monarch Butterfly Optimization.
CSCWD
Bo Zhu, Li Jia, Jianfang Li
2024 J jnl
Adaptive Personalized Federated Learning With One-Shot Screening.
IEEE Internet Things J.
Yang Ge, Yang Zhou, Li Jia
2024 J jnl
Double Robust Federated Digital Twin Modeling in Smart Grid.
IEEE Internet Things J.
Yang Zhou, Yang Ge, Li Jia
2024 J jnl
Dynamic Neural Network Predictive Compensation-Based Point-to-Point Iterative Learning Control With Nonuniform Batch Length.
IEEE Trans. Neural Networks Learn. Syst.
Rui Hou, Li Jia, Xuhui Bu, Chengyu Zhou
2024 J jnl
Multi-USV Formation Collision Avoidance via Deep Reinforcement Learning and COLREGs.
IEEE CAA J. Autom. Sinica
Cheng-Cheng Wang, Yu-Long Wang, Li Jia
2024 J jnl
Novel Outlier-Robust Accelerated Degradation Testing Model and Lifetime Analysis Method Considering Time-Stress-Dependent Factors.
IEEE Trans. Ind. Informatics
Yang Li, Minrui Fei, Li Jia, Ningyun Lu, Okyay Kaynak, Enrico Zio
2024 J jnl
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain.
CoRR
Weiliang Chen, Li Jia, Yang Zhou, Qianqian Ren
2023 J jnl
A General Degradation Process of Useful Life Analysis Under Unreliable Signals for Accelerated Degradation Testing.
IEEE Trans. Ind. Informatics
Yang Li, Shuiqing Xu, Hongtian Chen, Li Jia, Kun Ma
2021 J jnl
A novel learning algorithm of the neuro-fuzzy based Hammerstein-Wiener model corrupted by process noise.
J. Frankl. Inst.
Feng Li, Keming Yao, Bo Li, Li Jia
2020 J jnl
A just-in-time-learning based two-dimensional control strategy for nonlinear batch processes.
Inf. Sci.
Liuming Zhou, Li Jia, Yu-Long Wang
2020 J jnl
Neuro-fuzzy based identification of Hammerstein OEAR systems.
Comput. Chem. Eng.
Bensheng Lyu, Li Jia, Feng Li
2020 J jnl
Parameter Estimation of Neuro-Fuzzy Wiener Model With Colored Noise Using Separable Signals.
IEEE Access
Bensheng Lyu, Li Jia, Feng Li
2019 J jnl
A robust integrated model predictive iterative learning control strategy for batch processes.
Sci. China Inf. Sci.
Liuming Zhou, Li Jia, Yu-Long Wang
2019 J jnl
Correlation Analysis Algorithm-Based Multiple-Input Single-Output Wiener Model with Output Noise.
Complex.
Li Jia, Yangyang Li, Feng Li
2019 J jnl
Parameter estimation of Hammerstein-Wiener nonlinear system with noise using special test signals.
Neurocomputing
Feng Li, Li Jia
2019 J jnl
Quadratic-Criterion-Based Model Predictive Iterative Learning Control for Batch Processes Using Just-in-Time-Learning Method.
IEEE Access
Liuming Zhou, Li Jia, Yu-Long Wang
2018 — conf
Foreground Extraction via the Tensor-Based RPCA with Non-Convex Fused Sparsity.
ICNC-FSKD
Yongsheng Wei, Yanyan Liu, Li Jia, Xianchao Xiu, Jingjing Liu
2017 — conf
An LMI Approach to Iterative Learning Control Based on JITL for Batch Processes.
LSMS/ICSEE (2)
Liuming Zhou, Li Jia
2017 J jnl
Combined separable signals based neuro-fuzzy Hammerstein-Wiener model.
Memetic Comput.
Li Jia, Qiliang Feng
2017 — conf
Dynamic Process Fault Isolation and Diagnosis Using Improved Fisher Discriminant Analysis and Relative Error of Variance.
LSMS/ICSEE (2)
Huifeng Tian, Li Jia
2017 — conf
Identification Approach of Hammerstein-Wiener Model Corrupted by Colored Process Noise.
LSMS/ICSEE (1)
Feng Li, Li Jia, Qi Xiong
2017 J jnl
Neuro-fuzzy based identification method for Hammerstein output error model with colored noise.
Neurocomputing
Feng Li, Li Jia, Daogang Peng, Chao Han
2017 — conf
New Framework Mining Algorithm Based Main Operation Parameters Optimization in Power Plant.
LSMS/ICSEE (3)
Wencheng Huang, Li Jia, Daogang Peng
2016 — conf
An Integrated Model Predictive Iterative Learning Control Strategy for Batch Processes.
AsiaSim/SCS AutumnSim (1)
Chao Han, Li Jia
2016 J jnl
The identification of neuro-fuzzy based MIMO Hammerstein model with separable input signals.
Neurocomputing
Li Jia, Xunlong Li, Min-Sen Chiu
2015 J jnl
Intelligent virtual reference feedback tuning and its application to heat treatment electric furnace control.
Eng. Appl. Artif. Intell.
Ling Wang, Haoqi Ni, Ruixin Yang, Panos M. Pardalos, Li Jia, Minrui Fei
2015 J jnl
The probability density function based neuro-fuzzy model and its application in batch processes.
Neurocomputing
Li Jia, Kai Yuan
2012 J jnl
Integrated neuro-fuzzy model and dynamic R-parameter based quadratic criterion-iterative learning control for batch process.
Neurocomputing
Li Jia, Jiping Shi, Min-Sen Chiu
2012 J jnl
Pareto-optimal solutions based multi-objective particle swarm optimization control for batch processes.
Neural Comput. Appl.
Li Jia, Dashuai Cheng, Min-Sen Chiu
2010 — conf
Batch-to-Batch Iterative Optimal Control of Batch Processes Based on Dynamic Quadratic Criterion.
LSMS/ICSEE (1)
Li Jia, Jiping Shi, Dashuai Cheng, Luming Cao, Min-Sen Chiu
2010 — conf
Iterative Learning Control Based on Integrated Dynamic Quadratic Criterion for Batch Processes.
LSMS/ICSEE (2)
Li Jia, Jiping Shi, Dashuai Cheng, Luming Cao, Min-Sen Chiu
2010 — conf
Multi-objective Particle Swarm Optimization Control Technology and Its Application in Batch Processes.
LSMS/ICSEE (1)
Li Jia, Dashuai Cheng, Luming Cao, Zongjun Cai, Min-Sen Chiu
2010 — conf
Optimal Tracking Performance for Unstable Processes with NMP Zeroes.
LSMS/ICSEE (2)
Jianguo Wang, Shiwei Ma, Xiaowei Gou, Ling Wang, Li Jia
2008 — conf
An Analytical Adaptive Single-Neuron Compensation Control Law for Nonlinear Process.
ICIC (1)
Li Jia, Pengye Tao, Guang-Bo Chen, Min-Sen Chiu
2007 C conf
Dynamic System Modeling with Multilayer Recurrent Fuzzy Neural Network.
CIS
He Liu, Dao Huang, Li Jia
2007 — conf
Fuzzy Neural Network-Based Adaptive Single Neuron Controller.
LSMS (1)
Li Jia, Pengye Tao, Min-Sen Chiu
2006 — conf
Adaptive Feedback-Feedforward Control for a Class of Nonlinear Chemical Processes.
ICICIC (1)
Li Jia, Min-Sen Chiu
2005 — conf
Adaptive Neuro-Fuzzy Control of Non-Affine Nonlinear Systems.
ISIC
Li Jia, Shuzhi Sam Ge, Min-Sen Chiu