中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共66条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Policy Iteration Algorithm for Constrained Cost Optimal Control of Discrete-Time Nonlinear System 会议论文
, Shenzhen, China, 2021.7.18-22
作者:  Li, Tao;  Wei, Qinglai;  Li, Hongyang;  Song, Ruizhuo
Adobe PDF(920Kb)  |  收藏  |  浏览/下载：25/11  |  提交时间：2024/05/28
Constrained-cost adaptive dynamic programming for optimal control of discrete-time nonlinear systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 卷号: 35, 期号: 3, 页码: 3251 - 3264
作者:  Wei, Qinglai;  Li, Tao
Adobe PDF(8471Kb)  |  收藏  |  浏览/下载：22/9  |  提交时间：2024/05/28
Adaptive dynamic programming  approximate dynamic programming  constrained cost  optimal control  reinforcement learning  
Fixed-Time Antidisturbance Consensus Tracking for Nonlinear Multiagent Systems with Matching and Mismatching Disturbances 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1410-1423
作者:  Xiangmin Tan;  Chunyan Hu;  Guanzhen Cao;  Qinglai Wei;  Wei Li;  Bo Han
Adobe PDF(3106Kb)  |  收藏  |  浏览/下载：20/9  |  提交时间：2024/05/22
Antidisturbance  backstepping  consensus tracking  fixed-time stability  multiagent system (MASs)  strict feedback affine nonlinear systems  
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：80/7  |  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  
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：90/0  |  提交时间：2023/12/21
H. control  Nonlinear systems  Adaptive dynamic programming  Temporal difference  Neural network  Data-driven  
Consensus Control of Multi-Agent Systems With Two-Way Switching Directed Topology 会议论文
, 北京, 2020-12-5
作者:  Wang Xin;  Wei Qinglai;  Song Ruizhuo
Adobe PDF(898Kb)  |  收藏  |  浏览/下载：92/37  |  提交时间：2023/06/28
Data-driven adaptive-critic optimal output regulation towards water level control of boiler-turbine systems 期刊论文
Expert Systems with Applications, 2022, 页码: 117883
作者:  Wei Qinglai;  Wang Xin;  Liu Yu;  Xiong Gang
Adobe PDF(2135Kb)  |  收藏  |  浏览/下载：167/59  |  提交时间：2023/05/23
A New Approach to Finite-Horizon Optimal Control for Discrete-Time Affine Nonlinear Systems via a Pseudolinear Method 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 卷号: 67, 期号: 5, 页码: 2610-2617
作者:  Wei, Qinglai;  Zhu, Liao;  Li, Tao;  Liu, Derong
Adobe PDF(984Kb)  |  收藏  |  浏览/下载：233/4  |  提交时间：2022/07/25
Time-varying systems  Nonlinear systems  Optimal control  Heuristic algorithms  Dynamic programming  Neural networks  Linear systems  Adaptive dynamic programming  approximate dynamic programming  finite horizon  nonlinear systems  optimal control  pseudolinear approximation  
Event-Triggered Optimal Parallel Tracking Control for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 13
作者:  Lu, Jingwei;  Wei, Qinglai;  Liu, Yujia;  Zhou, Tianmin;  Wang, Fei-Yue
收藏  |  浏览/下载：227/0  |  提交时间：2022/01/27
Nonlinear systems  Trajectory  Optimal control  Control systems  Mathematical model  Steady-state  Dynamic programming  Adaptive dynamic programming (ADP)  event-triggered  neural network (NN)  nonlinear optimal control  parallel control  parallel system  tracking control  
Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Yang, Xiong;  Zhu, Yuanheng;  Dong, Na;  Wei, Qinglai
Adobe PDF(1578Kb)  |  收藏  |  浏览/下载：212/4  |  提交时间：2022/01/27
Adaptive critic designs (ACDs)  adaptive dynamic programming (ADP)  decentralized event-driven control  input constraint  reinforcement learning (RL)