Chuanqiang Lian

According to our database, Chuanqiang Lian authored at least 10 papers between 2011 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Stochastic Disturbances.

Xin Xu, Hong Chen, Chuanqiang Lian, Dazi Li

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Self-Learning Control Using Dual Heuristic Programming with Global Laplacian Eigenmaps.

Xin Xu, Huiyuan Yang, Chuanqiang Lian, Jiahang Liu

IEEE Trans. Ind. Electron., 2017

Model-Free Multi-Kernel Learning control for nonlinear discrete-Time Systems.

Jiahang Liu, Xin Xu, Zhenhua Huang, Chuanqiang Lian

Int. J. Robotics Autom., 2017

2016

Near-Optimal Tracking Control of Mobile Robots Via Receding-Horizon Dual Heuristic Programming.

Chuanqiang Lian, Xin Xu, Hong Chen, Haibo He

IEEE Trans. Cybern., 2016

Lateral control for Autonomous land Vehicles via Dual Heuristic Programming.

Zhenhua Huang, Chuanqiang Lian, Xin Xu, Jian Wang

Int. J. Robotics Autom., 2016

2014

Kernel-Based Approximate Dynamic Programming for Real-Time Online Learning Control: An Experimental Study.

Xin Xu, Chuanqiang Lian, Lei Zuo, Haibo He

IEEE Trans. Control. Syst. Technol., 2014

Self-learning PD algorithms based on approximate dynamic programming for robot motion planning.

Huiyuan Yang, Qi Guo, Xin Xu, Chuanqiang Lian

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines.

Xin Xu, Zhongsheng Hou, Chuanqiang Lian, Haibo He

IEEE Trans. Neural Networks Learn. Syst., 2013

2012

A Novel Feature Sparsification Method for Kernel-Based Approximate Policy Iteration.

Zhenhua Huang, Chunming Liu, Xin Xu, Chuanqiang Lian, Jun Wu

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2011

Adaptive Dual Heuristic Programming Based on Delta-Bar-Delta Learning Rule.

Jun Wu, Xin Xu, Chuanqiang Lian, Yan Huang

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011