已选(0)清除
条数/页: 排序方式: |
| Adaptive Optimal Discrete-Time Output-Feedback Using an Internal Model Principle and Adaptive Dynamic Programming 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 131-140 作者: Zhongyang Wang; Youqing Wang; Zdzisław Kowalczuk Adobe PDF(1538Kb)  |  收藏  |  浏览/下载:133/72  |  提交时间:2024/01/02 Adaptive dynamic programming (ADP) internal model principle (IMP) output feedback problem policy iteration (PI) value iteration (VI) |
| Value Iteration-Based Cooperative Adaptive Optimal Control for Multi-Player Differential Games With Incomplete Information 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 690-697 作者: Yun Zhang; Lulu Zhang; Yunze Cai Adobe PDF(6850Kb)  |  收藏  |  浏览/下载:72/29  |  提交时间:2024/02/19 Adaptive dynamic programming incomplete information multi-player differential game value iteration |
| Equilibrium Strategy of the Pursuit-Evasion Game in Three-Dimensional Space 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 446-458 作者: Nuo Chen; Linjing Li; Wenji Mao Adobe PDF(3567Kb)  |  收藏  |  浏览/下载:94/24  |  提交时间:2024/01/23 Differential game equilibrium strategy pursuit-evasion game threedegree-of-freedom control |
| Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36 作者: Ding Wang; Ning Gao; Derong Liu; Jinna Li; Frank L. Lewis Adobe PDF(1945Kb)  |  收藏  |  浏览/下载:242/180  |  提交时间:2024/01/02 Adaptive dynamic programming (ADP) advanced control complex environment data-driven control event-triggered design intelligent control neural networks nonlinear systems optimal control reinforcement learning (RL) |
| 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:99/0  |  提交时间:2023/11/17 Adaptive dynamic programming (ADP) Hamilton-Jacobi-Bellman equation (HJBE) nonlinear stochastic system stochastic policy iteration (PI) |
| A Parallel Control Method For Zero-Sum Games With Unknown Time-varying System 期刊论文 The International Journal of Intelligent Control and Systems, 2023, 页码: 5页 作者: Qinglai Wei; Zhenhua Zhu; Jie Zhang; Feiyue Wang Adobe PDF(470Kb)  |  收藏  |  浏览/下载:118/46  |  提交时间:2023/12/15 |
| Coupled Dynamics and Integrated Control for Position and Attitude Motions of Spacecraft: A Survey 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2187-2208 作者: Feng Zhang; Guangren Duan Adobe PDF(1737Kb)  |  收藏  |  浏览/下载:102/33  |  提交时间:2023/10/31 Coupled position and attitude dynamic modeling integrated position and attitude control position and attitude coupling analysis spacecraft space missions |
| An Optimal Control-Based Distributed Reinforcement Learning Framework for A Class of Non-Convex Objective Functionals of the Multi-Agent Network 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2081-2093 作者: Zhe Chen; Ning Li Adobe PDF(3366Kb)  |  收藏  |  浏览/下载:54/21  |  提交时间:2023/09/22 Distributed optimization multi-agent optimal control reinforcement learning (RL) |
| Optimal Control of Nonlinear Systems Using Experience Inference Human-Behavior Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 90-102 作者: Adolfo Perrusquía; Weisi Guo Adobe PDF(3694Kb)  |  收藏  |  浏览/下载:162/45  |  提交时间:2023/01/03 Experience inference hippocampus learning system linear time-variant (LTV) systems neocortex/striatum learning systems nonlinear systems optimal control |
| Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1797-1809 作者: Ding Wang; Jiangyu Wang; Mingming Zhao; Peng Xin; Junfei Qiao Adobe PDF(5140Kb)  |  收藏  |  浏览/下载:123/51  |  提交时间:2023/08/10 Adaptive critic artificial neural networks Hamilton-Jacobi-Bellman (HJB) equation multi-step heuristic dynamic programming multi-step reinforcement learning optimal control |