Chenkun Yin
Orcid: 0000-0002-7878-4824
According to our database1,
Chenkun Yin
authored at least 24 papers
between 2009 and 2023.
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Bibliography
2023
Model-Free Adaptive Control for a Class of MIMO Nonlinear Cyberphysical Systems Under False Data Injection Attacks.
IEEE Trans. Control. Netw. Syst., March, 2023
Traffic Flow Prediction of Highway Service Area Based on Temporal Convolution Network and Graph Attention Network.
Proceedings of the 5th International Conference on Robotics, 2023
Modeling and Simulation of the Suspension Guidance System for Passive Guided Maglev Trains.
Proceedings of the 5th International Conference on Robotics, 2023
Proceedings of the 5th International Conference on Robotics, 2023
2022
Constrained Spatial Adaptive Iterative Learning Control for Trajectory Tracking of High Speed Train.
IEEE Trans. Intell. Transp. Syst., 2022
Reinforcement Learning from Demonstrations by Novel Interactive Expert and Application to Automatic Berthing Control Systems for Unmanned Surface Vessel.
CoRR, 2022
2020
On the Urban Link Fundamental Diagram Based on Velocity-Weighted Flow and Queue Length.
Symmetry, 2020
Quasi-Newton method based control design for unknown nonlinear systems with input constraints.
Sci. China Inf. Sci., 2020
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
Self-Guided Actor-Critic: Reinforcement Learning from Adaptive Expert Demonstrations.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
Data-driven approximate Q-learning stabilization with optimality error bound analysis.
Autom., 2019
2018
A Data-Driven Iterative Learning Control Framework Based on Controller Dynamic Linearization.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
A path planning algorithm for unmanned vehicles based on target-oriented rapidly-exploring random tree.
Proceedings of the 11th Asian Control Conference, 2017
2016
Data-Driven Modeling for UGI Gasification Processes via an Enhanced Genetic BP Neural Network With Link Switches.
IEEE Trans. Neural Networks Learn. Syst., 2016
Adaptive iterative learning control for a class of non-linearly parameterised systems with input saturations.
Int. J. Syst. Sci., 2016
Proceedings of the 14th International Conference on Control, 2016
2014
Data driven modeling for UGI gasification process via a variable structure genetic BP neural network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Data-driven modeling for fixed-bed intermittent gasification processes by enhanced lazy learning incorporated with relevance vector machine.
Proceedings of the 11th IEEE International Conference on Control & Automation, 2014
2013
Iterative learning control based automatic train operation with iteration-varying parameter.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
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].
IEEE Trans. Autom. Control., 2011
Int. J. Control, 2011
2010
A High-Order Internal Model Based Iterative Learning Control Scheme for Nonlinear Systems With Time-Iteration-Varying Parameters.
IEEE Trans. Autom. Control., 2010
2009
An ILC scheme for a class of nonlinear systems with time-varying parameters subject to second-order internal model.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Iterative learning control design with high-order internal model for nonlinear systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009