Iterative learning control design with high-order internal model for nonlinear systems. - Chenkun Yin; Jian-Xin Xu 001; Zhongsheng Hou (CDC, 2009)

An ILC scheme for a class of nonlinear systems with time-varying parameters subject to second-order internal model. - Chenkun Yin; Jian-Xin Xu 001; Zhongsheng Hou (CDC, 2009)

A High-Order Internal Model Based Iterative Learning Control Scheme for Nonlinear Systems With Time-Iteration-Varying Parameters. - Chenkun Yin; Jian-Xin Xu 001; Zhongsheng Hou (IEEE Trans. Autom. Control., 2010)

Terminal iterative learning control based station stop control of a train. - Zhongsheng Hou; Yi Wang; Chenkun Yin; Tao Tang (Int. J. Control, 2011)

Corrections to "A High-Order Internal Model Based Iterative Learning Control Scheme for Nonlinear Systems With Time-Iteration-Varying Parameters" [Nov 10 2665-2670]. - Chenkun Yin; Jian-Xin Xu 001; Zhongsheng Hou (IEEE Trans. Autom. Control., 2011)

Iterative learning control based automatic train operation with iteration-varying parameter. - Zhenxuan Li; Chenkun Yin; Shangtai Jin; Zhongsheng Hou (ICCA, 2013)

Data-driven modeling for fixed-bed intermittent gasification processes by enhanced lazy learning incorporated with relevance vector machine. - Shida Liu; Zhongsheng Hou; Chenkun Yin (ICCA, 2014)

Data driven modeling for UGI gasification process via a variable structure genetic BP neural network. - Shida Liu; Zhongsheng Hou; Chenkun Yin (IJCNN, 2014)

ILC based perimeter control for an urban traffic network. - Ying Ding; Shangtai Jin; Chenkun Yin; Zhongsheng Hou (ICARCV, 2016)

Adaptive iterative learning control for a class of non-linearly parameterised systems with input saturations. - Ruikun Zhang; Zhongsheng Hou; Honghai Ji; Chenkun Yin (Int. J. Syst. Sci., 2016)

Data-Driven Modeling for UGI Gasification Processes via an Enhanced Genetic BP Neural Network With Link Switches. - Shida Liu; Zhongsheng Hou; Chenkun Yin (IEEE Trans. Neural Networks Learn. Syst., 2016)

A path planning algorithm for unmanned vehicles based on target-oriented rapidly-exploring random tree. - Haijun Gong; Chenkun Yin; Fang Zhang; Zhongsheng Hou; Ruikun Zhang (ASCC, 2017)

A Data-Driven Iterative Learning Control Framework Based on Controller Dynamic Linearization. - Zhongsheng Hou; Xian Yu; Chenkun Yin (ACC, 2018)

Data-driven approximate Q-learning stabilization with optimality error bound analysis. - Yongqiang Li 003; Chengzan Yang; Zhongsheng Hou; Yuanjing Feng; Chenkun Yin (Autom., 2019)

Self-Guided Actor-Critic: Reinforcement Learning from Adaptive Expert Demonstrations. - Haoran Zhang; Chenkun Yin; Yanxin Zhang; Shangtai Jin (CDC, 2020)

Motion Planning Using Reinforcement Learning Method for Underactuated Ship Berthing. - Haoran Zhang; Chenkun Yin; Yanxin Zhang (ICCA, 2020)

Quasi-Newton method based control design for unknown nonlinear systems with input constraints. - Shuangshuang Xiong; Zhongsheng Hou; Chenkun Yin (Sci. China Inf. Sci., 2020)

On the Urban Link Fundamental Diagram Based on Velocity-Weighted Flow and Queue Length. - Hansong Yu; Junwei Kong; Ye Ren; Chenkun Yin (Symmetry, 2020)

Reinforcement Learning from Demonstrations by Novel Interactive Expert and Application to Automatic Berthing Control Systems for Unmanned Surface Vessel. - Haoran Zhang; Chenkun Yin; Yanxin Zhang; Shangtai Jin; Zhenxuan Li (CoRR, 2022)

Constrained Spatial Adaptive Iterative Learning Control for Trajectory Tracking of High Speed Train. - Zhenxuan Li; Chenkun Yin; Honghai Ji; Zhongsheng Hou (IEEE Trans. Intell. Transp. Syst., 2022)

Target Detection Algorithm Based on Improved YOLOv5 for Edge Computing Devices. - Yanqiu Wang; Shangtai Jin; Chenkun Yin; Zejin Wu (RICAI, 2023)

Modeling and Simulation of the Suspension Guidance System for Passive Guided Maglev Trains. - Zejin Wu; Shangtai Jin; Chenkun Yin; Zeren Zhao (RICAI, 2023)

Traffic Flow Prediction of Highway Service Area Based on Temporal Convolution Network and Graph Attention Network. - Zeren Zhao; Shangtai Jin; Chenkun Yin; Yanqiu Wang (RICAI, 2023)

Model-Free Adaptive Control for a Class of MIMO Nonlinear Cyberphysical Systems Under False Data Injection Attacks. - Panpan Zhu; Shangtai Jin; Xuhui Bu; Zhongsheng Hou; Chenkun Yin (IEEE Trans. Control. Netw. Syst., 2023)