Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition. - Ronghu Chi; Zhongsheng Hou; Jianxin Xu 001 (Autom., 2008)

A new neural network-based adaptive ILC for nonlinear discrete-time systems with dead zone scheme. - Ronghu Chi; Zhongsheng Hou (J. Syst. Sci. Complex., 2009)

Model-free periodic adaptive control for a class of SISO nonlinear discrete-time systems. - Ronghu Chi; Zhongsheng Hou (ICCA, 2010)

Reply to "Comments on 'Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition"'. - Zhongsheng Hou; Ronghu Chi; Jianxin Xu 001 (Autom., 2010)

A new dynamical linearization based adaptive ILC for nonlinear discrete-time MIMO systems. - Ronghu Chi; Zhongsheng Hou; Shangtai Jin; Danwei Wang (ICARCV, 2012)

An identification based indirect iterative learning control via data-driven approach. - Ronghu Chi; Tao Su; Shangtai Jin (ICARCV, 2012)

Neural network based terminal iterative learning control for tracking run-varying reference point. - Tianqi Liu; Danwei Wang; Ronghu Chi; Qiang Shen 002 (ASCC, 2013)

A Data-Driven Iterative Feedback Tuning Approach of ALINEA for Freeway Traffic Ramp Metering With PARAMICS Simulations. - Ronghu Chi; Zhongsheng Hou; Shangtai Jin; Danwei Wang; Jiangen Hao (IEEE Trans. Ind. Informatics, 2013)

Sample-data adaptive iterative learning control for a class of unknown nonlinear systems. - Chiang-Ju Chien; Ying-Chung Wang; Ronghu Chi (ICARCV, 2014)

Terminal ILC design and analysis via a dynamical predictive model. - Ronghu Chi; Zhongsheng Hou; Shangtai Jin; Chiang-Ju Chien; Danwei Wang (ICCA, 2014)

Design and analysis of current error based sampled-data ILC with application to position tracking control of DC motors. - Chiang-Ju Chien; Yu-Chung Hung; Ronghu Chi (ICCA, 2014)

Data-Weighting Periodic RLS Based Adaptive Control Design and Analysis without Linear Growth Condition. - Ronghu Chi; Zhongsheng Hou; Shangtai Jin (J. Appl. Math., 2014)

A Novel Data-Driven Terminal Iterative Learning Control with Iteration Prediction Algorithm for a Class of Discrete-Time Nonlinear Systems. - Shangtai Jin; Zhongsheng Hou; Ronghu Chi (J. Appl. Math., 2014)

Adaptive iterative learning control approach for PH neutralization of batch processes. - Ronghu Chi; Yu Liu; Zhongsheng Hou; Shangtai Jin (ASCC, 2015)

A unified data-driven design framework of optimality-based generalized iterative learning control. - Ronghu Chi; Zhongsheng Hou; Biao Huang 001; Shangtai Jin (Comput. Chem. Eng., 2015)

On the current error based sampled-data iterative learning control with reduced memory capacity. - Chiang-Ju Chien; Yu-Chung Hung; Ronghu Chi (Int. J. Autom. Comput., 2015)

Neural network state learning based adaptive terminal ILC for tracking iteration-varying target points. - Yu Liu; Ronghu Chi; Zhongsheng Hou (Int. J. Autom. Comput., 2015)

Adaptive iterative learning control for nonlinearly parameterised systems with unknown time-varying delays and input saturations. - Ruikun Zhang; Zhongsheng Hou; Ronghu Chi; Honghai Ji (Int. J. Control, 2015)

A Fuzzy-Neural Adaptive Terminal Iterative Learning Control for Fed-Batch Fermentation Processes. - Ying-Chung Wang; Chiang-Ju Chien; Ronghu Chi; Zhongsheng Hou (Int. J. Fuzzy Syst., 2015)

A data-driven adaptive ILC for a class of nonlinear discrete-time systems with random initial states and iteration-varying target trajectory. - Ronghu Chi; Zhongsheng Hou; Shangtai Jin (J. Frankl. Inst., 2015)

Enhanced Data-Driven Optimal Terminal ILC Using Current Iteration Control Knowledge. - Ronghu Chi; Zhongsheng Hou; Shangtai Jin; Danwei Wang; Chiang-Ju Chien (IEEE Trans. Neural Networks Learn. Syst., 2015)

A data-driven iterative learning control for I/O constrained nonlinear systems. - Ronghu Chi; Xiaohe Liu; Na Lin 002; Ruikun Zhang (ICARCV, 2016)

Adaptive iterative learning control for nonlinear uncertain systems with both state and input constraints. - Qiongxia Yu; Zhongsheng Hou; Ronghu Chi (J. Frankl. Inst., 2016)

Data-driven approximate value iteration with optimality error bound analysis. - Yongqiang Li 003; Zhongsheng Hou; Yuanjing Feng; Ronghu Chi (Autom., 2017)

Adaptive Iterative Learning Control for Freeway Traffic Flow Systems Using Improved Bacterial Foraging Optimized Desired Traffic Densities Planning. - Ying-Chung Wang; Chiang-Ju Chien; Ronghu Chi; Zhongsheng Hou; Ching-Hung Lee (Int. J. Fuzzy Syst., 2017)

An Overview of Dynamic-Linearization-Based Data-Driven Control and Applications. - Zhongsheng Hou; Ronghu Chi; Huijun Gao (IEEE Trans. Ind. Electron., 2017)

Computationally Efficient Data-Driven Higher Order Optimal Iterative Learning Control. - Ronghu Chi; Zhongsheng Hou; Shangtai Jin; Biao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Data-Driven Stochastic Optimal Iterative Learning Control for Nonlinear Non-Affine Systems With Measurement Data Loss. - Hao Liang; Ronghu Chi; Yunkai Lv; Yumei Sun; Debin Kong (IEEE Access, 2019)

Linear Time-Varying Data Model-Based Iterative Learning Recursive Least Squares Identifications for Repetitive Systems. - Na Lin 002; Ronghu Chi; Biao Huang 001 (IEEE Access, 2019)

Iterative Learning Based Accumulative Disturbance Observer for Repetitive Systems via a Virtual Linear Data Model. - Yangchun Wei; Rongrong Wang; Ronghu Chi (IEEE Access, 2019)

Data-Driven Robust Stabilization with Robust DOA Enlargement for Nonlinear Systems. - Chaolun Lu; Yongqiang Li 003; Zhongsheng Hou; Yuanjing Feng; Yu Feng 002; Ronghu Chi; Xuhui Bu (CoRR, 2019)

Linear Data-Model Based Adaptive ILC for Freeway Ramp Metering without Identical Conditions on Initial States and Reference Trajectory. - Hao Liang; Na Lin 002; Ronghu Chi; Yumei Sun (Inf. Technol. Control., 2019)

Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control. - Na Lin 002; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (J. Frankl. Inst., 2019)

Iterative dynamic linearization and identification of a nonlinear learning controller: A data-driven approach. - Na Lin 002; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (J. Frankl. Inst., 2019)

Discrete-time adaptive iterative learning control with incorporation of a priori process knowledge. - Hao Liang; Na Lin 002; Ronghu Chi; Yumei Sun (Trans. Inst. Meas. Control, 2019)

A forgetting-factor based data-driven optimal terminal iterative learning control with applications to product concentration control of ethanol fermentation processes. - Na Lin 002; Hao Liang; Yunkai Lv; Ronghu Chi (Trans. Inst. Meas. Control, 2019)

An Improved Data-Driven Point-to-Point ILC Using Additional On-Line Control Inputs With Experimental Verification. - Ronghu Chi; Zhongsheng Hou; Shangtai Jin; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Observer-based data-driven iterative learning control. - Ronghu Chi; Yangchun Wei; Wenlong Yao; Jianmin Xing (Int. J. Syst. Sci., 2020)

Nonholonomic dynamic linearisation based adaptive PID-type ILC for nonlinear systems with iteration-varying uncertainties. - Shuhua Zhang; Yu Hui; Ronghu Chi; Juan Li (Int. J. Syst. Sci., 2020)

Distributed iterative learning temperature control for multi-zone HVAC system. - Ronghu Chi; Yunkai Lv; Biao Huang 001 (J. Frankl. Inst., 2020)

Data-driven nonlinear ILC with varying trial lengths. - Jianmin Xing; Na Lin 002; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (J. Frankl. Inst., 2020)

Adjacent-Agent Dynamic Linearization-Based Iterative Learning Formation Control. - Ronghu Chi; Yu Hui; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Cybern., 2020)

Discrete-Time Extended State Observer-Based Model-Free Adaptive Control Via Local Dynamic Linearization. - Ronghu Chi; Yu Hui; Shuhua Zhang; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Ind. Electron., 2020)

Enhanced data-driven optimal iterative learning control for nonlinear non-affine discrete-time systems with iterative sliding-mode surface. - Rongrong Wang; Yangchun Wei; Ronghu Chi (Trans. Inst. Meas. Control, 2020)

Model-free adaptive PID control for nonlinear discrete-time systems. - Shuhua Zhang; Ronghu Chi (Trans. Inst. Meas. Control, 2020)

3-D Learning-Enhanced Adaptive ILC for Iteration-Varying Formation Tasks. - Yu Hui; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Neural Networks Learn. Syst., 2020)

Observer based switching ILC for consensus of nonlinear nonaffine multi-agent systems. - Ronghu Chi; Yangchun Wei; Rongrong Wang; Zhongsheng Hou (J. Frankl. Inst., 2021)

Event-triggered learning consensus of networked heterogeneous nonlinear agents with switching topologies. - Na Lin 002; Ronghu Chi; Biao Huang 001 (J. Frankl. Inst., 2021)

Convergence Analysis of Sampled-Data ILC for Locally Lipschitz Continuous Nonlinear Nonaffine Systems With Nonrepetitive Uncertainties. - Ronghu Chi; Yu Hui; Chiang-Ju Chien; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Autom. Control., 2021)

Active Disturbance Rejection Control for Nonaffined Globally Lipschitz Nonlinear Discrete-Time Systems. - Ronghu Chi; Yu Hui; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Autom. Control., 2021)

Iterative learning control for nonlinear nonaffine networked systems with stochastic noise in communication channels. - Wenqing Liu; Ronghu Chi (Trans. Inst. Meas. Control, 2021)

Multi-lagged-input information enhancing quantized iterative learning control. - Huimin Zhang; Ronghu Chi (Trans. Inst. Meas. Control, 2021)

Data-Driven Terminal Iterative Learning Consensus for Nonlinear Multiagent Systems With Output Saturation. - Xuhui Bu; Jiaqi Liang 001; Zhongsheng Hou; Ronghu Chi (IEEE Trans. Neural Networks Learn. Syst., 2021)

Event-Triggered Nonlinear Iterative Learning Control. - Na Lin 002; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Neural Networks Learn. Syst., 2021)

Extended State Observer-Based Data-Driven Iterative Learning Control for Permanent Magnet Linear Motor With Initial Shifts and Disturbances. - Yu Hui; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Observer-Based Sampled-Data Model-Free Adaptive Control for Continuous-Time Nonlinear Nonaffine Systems With Input Rate Constraints. - Yu Hui; Ronghu Chi; Biao Huang 001; Zhongsheng Hou; Shangtai Jin (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Event-Triggered Model-Free Adaptive Control. - Na Lin 002; Ronghu Chi; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Auxiliary Predictive Compensation-Based ILC for Variable Pass Lengths. - Na Lin 002; Ronghu Chi; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Second-order Quantized ILC for a class of Nonlinear Nonaffine Systems. - Huimin Zhang; Ronghu Chi (ASCC, 2022)

Event-triggered iterative learning control for linear time-varying systems. - Huaying Li; Na Lin 002; Ronghu Chi (Int. J. Syst. Sci., 2022)

Distributed model-free adaptive predictive control for heterogeneous nonlinear multi-agent systems. - Zhenzhen Pan; Zhongsheng Hou; Ronghu Chi (Int. J. Syst. Sci., 2022)

Quantisation compensated data-driven iterative learning control for nonlinear systems. - Huimin Zhang; Ronghu Chi; Zhongsheng Hou; Biao Huang 001 (Int. J. Syst. Sci., 2022)

Spatial Linear Dynamic Relationship of Strongly Connected Multiagent Systems and Adaptive Learning Control for Different Formations. - Ronghu Chi; Yu Hui; Biao Huang 001; Zhongsheng Hou; Xuhui Bu (IEEE Trans. Cybern., 2022)

Quantitative Data-Driven Adaptive Iterative Learning Control: From Trajectory Tracking to Point-to-Point Tracking. - Ronghu Chi; Huimin Zhang; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Cybern., 2022)

Event-Triggered ILC for Optimal Consensus at Specified Data Points of Heterogeneous Networked Agents With Switching Topologies. - Na Lin 002; Ronghu Chi; Biao Huang 001 (IEEE Trans. Cybern., 2022)

Data-driven adaptive tuning of iterative learning control. - Yingzhen Yu; Na Lin 002; Ronghu Chi (Trans. Inst. Meas. Control, 2022)

Data-Driven Adaptive Consensus Learning From Network Topologies. - Ronghu Chi; Yu Hui; Biao Huang 001; Zhongsheng Hou; Xuhui Bu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Discrete-Time-Distributed Adaptive ILC With Nonrepetitive Uncertainties and Applications to Building HVAC Systems. - Ronghu Chi; Yu Hui; Rongrong Wang; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Syst. Man Cybern. Syst., 2022)

High-order model-free adaptive iterative learning control. - Jian Xu; Na Lin 002; Ronghu Chi; Xueqiang Li (Trans. Inst. Meas. Control, 2023)

Compensation-Based Distributed Model-Free Adaptive Control for Cyber-Attacks. - Zhenzhen Pan; Ronghu Chi; Zhongsheng Hou (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Model-Free Adaptive Iterative Learning From Communicable Agents for Nonlinear Networks Consensus. - Shiyong Sun; Ronghu Chi; Yang Liu 077; Na Lin 002 (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates. - Ronghu Chi; Huaying Li; Dong Shen; Zhongsheng Hou; Biao Huang 001 (IEEE Trans. Autom. Control., 2023)

Data-driven set-point control for nonlinear nonaffine systems. - Na Lin 002; Ronghu Chi; Biao Huang 001 (Inf. Sci., 2023)

Double Dynamic Linearization-Based Higher Order Indirect Adaptive Iterative Learning Control. - Huaying Li; Ronghu Chi; Zhongsheng Hou; Biao Huang 001 (IEEE Trans. Cybern., 2023)

Data-Driven Virtual Reference Set-Point Learning of PD Control and Applications to Permanent Magnet Linear Motors. - Na Lin 002; Huaying Li; Ronghu Chi; Zhongsheng Hou; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Data-Driven Adaptive Iterative Learning Bipartite Consensus for Heterogeneous Nonlinear Cooperation-Antagonism Networks. - Yu Hui; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Neural Networks Learn. Syst., 2023)

Dynamic Linearization and Extended State Observer-Based Data-Driven Adaptive Control. - Ronghu Chi; Xiaolin Guo; Na Lin 002; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Finite-time PID control for nonlinear nonaffine systems. - Zhiqing Liu; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (Sci. China Inf. Sci., 2024)

Performance-oriented design and analysis for direct data-driven control of multi-agent systems. - Ronghu Chi; Na Lin 002; Biao Huang 001; Zhongsheng Hou (Inf. Sci., 2024)

Presynchronization control for ship microgrid of merchant marine inverters based on VSG algorithm with MFAC. - Wenlong Yao; Chunbo Pei; Ronghu Chi; Wei Shao; Boyang Li (Trans. Inst. Meas. Control, 2024)

Distributed Model-Free Adaptive Predictive Control for MIMO Multi-Agent Systems With Deception Attack. - Zhenzhen Pan; Ronghu Chi; Zhongsheng Hou (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Data-Driven Indirect Iterative Learning Control. - Ronghu Chi; Huaying Li; Na Lin 002; Biao Huang 001 (IEEE Trans. Cybern., 2024)

Data-driven predictive ILC for nonlinear nonaffine systems. - Wenzhi Cui; Puzhao Li; Ronghu Chi (Int. J. Syst. Sci., 2024)

Adaptive Observer-Based Finite-Time Fault Tolerant Control for Non-Strict Feedback Systems. - Ning Sheng; Yang Liu 077; Ronghu Chi; Zidong Ai (J. Syst. Sci. Complex., 2024)

Sampled-Data Model-Free Adaptive Control for Nonlinear Continuous-Time Systems. - Ronghu Chi; Wenzhi Cui; Na Lin 002; Zhongsheng Hou; Biao Huang 001 (IEEE Trans. Cybern., 2024)

Sampled-Data Adaptive Iterative Learning Control for Uncertain Nonlinear Systems. - Yu Hui; Deyuan Meng; Ronghu Chi; Kaiquan Cai (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Data-Driven Dynamic Internal Model Control. - Ronghu Chi; Huimin Zhang; Huaying Li; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Cybern., 2024)

Data-Driven Finite-Iteration Learning Control. - Ronghu Chi; Zhiqing Liu; Na Lin 002; Zhongsheng Hou; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Double-Layered Iterative Learning Control for Nonlinear Systems. - Na Lin 002; Ronghu Chi; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Data-Driven Robust Finite-Iteration Learning Control for MIMO Nonrepetitive Uncertain Systems. - Zhiqing Liu; Ronghu Chi; Yang Liu 077; Biao Huang 001 (IEEE Trans. Cybern., 2024)

Input-Behavior-Learning-Based Data Driven Control for Multiagent Systems Under DoS Attacks. - Wenting Yuan; Yu Hui; Ronghu Chi (IEEE Internet Things J., 2025)

Error tracking-driven adaptive backstepping ILC of nonlinear systems with initial shifts. - Jinyu Liu; Yang Liu 077; Ronghu Chi; Zhongsheng Hou (J. Frankl. Inst., 2025)

Data-Driven Iterative Learning Temperature Control for Rubber Mixing Processes. - Ronghu Chi; Zhihao Zhou; Huimin Zhang; Na Lin 002; Biao Huang 001 (IEEE Trans Autom. Sci. Eng., 2025)

Tuning Function-Based Light Computational Adaptive Fixed-Time Control for Overhead Cranes With Multiple Uncertainites. - Jia-Ke Wang; Yang Liu 077; Ronghu Chi; Xuhui Bu; Zhongsheng Hou (IEEE Trans Autom. Sci. Eng., 2025)

Compensatory Data-Driven Networked Iterative Learning Control With Communication Constraints and DoS Attacks. - Huimin Zhang; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (IEEE Trans Autom. Sci. Eng., 2025)

Data driven latent variable adaptive control for nonlinear multivariable processes. - Mingming Lin; Ronghu Chi; Ning Sheng (Int. J. Syst. Sci., 2025)

Data-Driven Internal Model Learning Control for Nonlinear Systems. - Huimin Zhang; Ronghu Chi; Biao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Privacy Preserving for Switched Systems Under Robust Data-Driven Predictive Control. - Yiwen Qi; Shitong Guo; Ronghu Chi; Yiwen Tang; Ziyu Qu (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Adaptive Iterative Learning Control of Discrete-Time Nonlinear Networked Systems: A Two-Description Coding Approach. - Shuhua Zhang; Lifeng Ma; Ronghu Chi; Hongjian Liu (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Event-Triggered Data-Driven Iterative Learning Control for Multiagent Systems With FDI Attacks. - Na Lin 002; Huiming Peng; Ronghu Chi (IEEE Internet Things J., 2025)