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CASIA OpenIR
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Multistep Look-Ahead Policy Iteration for Optimal Control of Discrete-Time Nonlinear Systems With Isoperimetric Constraints 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 卷号: 54, 期号: 3, 页码: 1414-1426
作者:  Li, Tao;  Wei, Qinglai;  Wang, Fei-Yue
Adobe PDF(784Kb)  |  收藏  |  浏览/下载：56/0  |  提交时间：2024/02/22
Performance analysis  Optimal control  Dynamic programming  Iterative algorithms  Upper bound  Measurement  Convergence  Adaptive dynamic programming (ADP)  isoperimetric constraints  nonlinear systems  optimal control  policy iteration  
Robust Optimal Parallel Tracking Control Based on Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2023, 页码: 14
作者:  Wei, Qinglai;  Jiao, Shanshan;  Wang, Fei-Yue;  Dong, Qi
收藏  |  浏览/下载：106/0  |  提交时间：2023/12/21
Optimal control  Control systems  Uncertainty  Robust control  Performance analysis  Dynamic programming  Uncertain systems  ADP  NN  nonlinear robust optimal control  parallel control  tracking control  
Synergetic learning for unknown nonlinear H. control using neural networks 期刊论文
NEURAL NETWORKS, 2023, 卷号: 168, 页码: 287-299
作者:  Zhu, Liao;  Guo, Ping;  Wei, Qinglai
收藏  |  浏览/下载：80/0  |  提交时间：2023/12/21
H. control  Nonlinear systems  Adaptive dynamic programming  Temporal difference  Neural network  Data-driven  
Continuous-Time Stochastic Policy Iteration of Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13
作者:  Wei, Qinglai;  Zhou, Tianmin;  Lu, Jingwei;  Liu, Yu;  Su, Shuai;  Xiao, Jun
收藏  |  浏览/下载：122/0  |  提交时间：2023/11/17
Adaptive dynamic programming (ADP)  Hamilton-Jacobi-Bellman equation (HJBE)  nonlinear stochastic system  stochastic policy iteration (PI)  
Approximate Dynamic Programming for Event-Driven H-8 Constrained Control 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 11
作者:  Yang, Xiong;  Xu, Mengmeng;  Wei, Qinglai
收藏  |  浏览/下载：64/0  |  提交时间：2023/11/17
Approximate dynamic programming (ADP)  event-driven control  H(8)control  input constraint  optimal control