Chenkun Yin

发表

Quasi-Newton method based control design for unknown nonlinear systems with input constraints

Zhongsheng Hou, Shuangshuang Xiong, Chenkun Yin, 2020, Science China Information Sciences.

Data-driven modeling for fixed-bed intermittent gasification processes by enhanced lazy learning incorporated with relevance vector machine

Zhongsheng Hou, Chenkun Yin, Shida Liu, 2014, 11th IEEE International Conference on Control & Automation (ICCA).

A Simultaneous Iterative Learning Control and Dynamic Modeling Approach for A Class of Nonlinear Systems

Jian-Xin Xu, Zhongsheng Hou, Chenkun Yin, 2015 .

A Data-Driven Iterative Learning Control Framework Based on Controller Dynamic Linearization

Zhongsheng Hou, Xian Yu, Chenkun Yin, 2018, 2018 Annual American Control Conference (ACC).

End-to-end Spatiotemporal Attention Model for Autonomous Driving

Zhiqing Huang, Chenkun Yin, Yanxin Zhang, 2020, 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC).

Local learning-based model-free adaptive predictive control for adjustment of oxygen concentration in syngas manufacturing industry

Zhongsheng Hou, Chenkun Yin, Shida Liu, 2016 .

ILC based perimeter control for an urban traffic network

Shangtai Jin, Zhongsheng Hou, Ying Ding, 2016, 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV).

Iterative learning control based automatic train operation with iteration-varying parameter

Shangtai Jin, Zhongsheng Hou, Chenkun Yin, 2013, 2013 10th IEEE International Conference on Control and Automation (ICCA).

Adaptive iterative learning control for a class of non-linearly parameterised systems with input saturations

Zhongsheng Hou, Ruikun Zhang, Chenkun Yin, 2016, Int. J. Syst. Sci..

Ramp Metering via Feedback-Aided Iterative Learning Control for Freeway Traffic Systems under Iteration-Varying Boundary Conditions

Zhongsheng Hou, Shangtai Jin, Chenkun Yin, 2019, 2019 Chinese Automation Congress (CAC).

Data-driven approximate Q-learning stabilization with optimality error bound analysis

Zhongsheng Hou, Yuanjing Feng, Yongqiang Li, 2019, Autom..

Data-driven Adaptive Filtering for Fault Diagnosis of A Class of Nonlinear Discrete-time Systems

Rongmin Cao, Chenkun Yin, Lingling Fan, 2020, 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS).

Terminal iterative learning control based station stop control of a train

Tao Tang, Yi Wang, Zhongsheng Hou, 2011, Int. J. Control.

Data driven modeling for UGI gasification process via a variable structure genetic BP neural network

Zhongsheng Hou, Chenkun Yin, Shida Liu, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Self-Guided Actor-Critic: Reinforcement Learning from Adaptive Expert Demonstrations

Shangtai Jin, Haoran Zhang, Chenkun Yin, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

A High-Order Internal Model Based Iterative Learning Control Scheme for Nonlinear Systems With Time-Iteration-Varying Parameters

Jian-Xin Xu, Zhongsheng Hou, Chenkun Yin, 2010, IEEE Transactions on Automatic Control.

An ILC scheme for a class of nonlinear systems with time-varying parameters subject to second-order internal model

Jian-Xin Xu, Zhongsheng Hou, Chenkun Yin, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

A path planning algorithm for unmanned vehicles based on target-oriented rapidly-exploring random tree

Fang Zhang, Zhongsheng Hou, Ruikun Zhang, 2017, 2017 11th Asian Control Conference (ASCC).

A novel data-driven predictive control for networked control systems with random packet dropouts

Zhongsheng Hou, Chenkun Yin, Shuo Zhen, 2017, 2017 6th Data Driven Control and Learning Systems (DDCLS).

Iterative learning control design with high-order internal model for nonlinear systems

Jian-Xin Xu, Zhongsheng Hou, Chenkun Yin, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Corrections to "A High-Order Internal Model Based Iterative Learning Control Scheme for Nonlinear Systems With Time-Iteration-Varying Parameters" [Nov 10 2665-2670]

Jian-Xin Xu, Zhongsheng Hou, Chenkun Yin, 2011, IEEE Trans. Autom. Control..

On the Urban Link Fundamental Diagram Based on Velocity-Weighted Flow and Queue Length

Chenkun Yin, Hansong Yu, Ye Ren, 2020, Symmetry.

Spatial Adaptive Iterative Learning Control for Automatic Driving of High Speed Train

Zhongsheng Hou, Chenkun Yin, Zhenxuan Li, 2020, 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS).

Motion Planning Using Reinforcement Learning Method for Underactuated Ship Berthing

Haoran Zhang, Chenkun Yin, Yanxin Zhang, 2020, 2020 IEEE 16th International Conference on Control & Automation (ICCA).

Iterative learning control for train trajectory tracking under speed constrains with iteration-varying parameter

Zhongsheng Hou, Chenkun Yin, Zhenxuan Li, 2015 .

An ILC scheme for a class of nonlinear continuous‐time systems with time‐iteration‐varying parameters subject to second‐order internal model

Jian-Xin Xu, Zhongsheng Hou, Chenkun Yin, 2011 .

Data-Driven Modeling for UGI Gasification Processes via an Enhanced Genetic BP Neural Network With Link Switches

Zhongsheng Hou, Chenkun Yin, Shida Liu, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Multi-agent Deep Reinforcement Learning based on Maximum Entropy

Chenkun Yin, Yanxin Zhang, Zihao Wang, 2021, 2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).

Constrained Spatial Adaptive Iterative Learning Control for Trajectory Tracking of High Speed Train

Chenkun Yin, Honghai Ji, Zhenxuan Li, 2021, IEEE Transactions on Intelligent Transportation Systems.

On iterative learning control design for tracking iteration-varying trajectories with high-order internal model

Jian-Xin Xu, Zhongsheng Hou, Chenkun Yin, 2010 .