Adaptive Dynamic Programming for Robust Event-Driven Tracking Control of Nonlinear Systems With Asymmetric Input Constraints
文献类型：期刊论文
| 作者 | Yang, Xiong1 ; Wei, Qinglai2
|
| 刊名 | IEEE TRANSACTIONS ON CYBERNETICS
 |
| 出版日期 | 2024-07-19 |
| 页码 | 12 |
| 关键词 | Nonlinear systems Control systems Optimal control Regulation Dynamic programming Perturbation methods Adaptive systems Adaptive dynamic programming (ADP) asymmetric constraint event-driven mechanism (EDM) neural network (NN) reinforcement learning (RL) |
| ISSN号 | 2168-2267 |
| DOI | 10.1109/TCYB.2024.3418904 |
| 通讯作者 | Yang, Xiong(xiong.yang@tju.edu.cn) |
| 英文摘要 | This article considers the robust dynamic event-driven tracking control problem of nonlinear systems having mismatched disturbances and asymmetric input constraints. Initially, to tackle the asymmetric constraints, a novel nonquadratic value function is constructed for the original system. This makes the asymmetrically constrained tracking control problem transformed into an unconstrained optimal regulation problem. Then, a dynamic event-driven mechanism is proposed. Meanwhile, the event-driven Hamilton-Jacobi-Bellman equation (ED-HJBE) is developed for the optimal regulation problem in order to acquire the optimal control with distinctly decreased computational burden. To solve the ED-HJBE, a single critic neural network (CNN) is designed in the adaptive dynamic programming framework. Meanwhile, the gradient descent method is employed to update the CNN's weights. After that, both the weight estimation error and the tracking error are proved to be uniformly ultimately bounded via Lyapunov's direct method. Finally, simulations of the spring-mass-damper system and the pendulum plant are separately utilized to validate the established theoretical claims. |
| 资助项目 | National Natural Science Foundation of China[62373267] ; National Natural Science Foundation of China[61973228] |
| WOS研究方向 | Automation & Control Systems ; Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001273016000001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/59358]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队 |
| 通讯作者 | Yang, Xiong |
| 作者单位 | 1.Tianjin Univ, Sch Elect & Informat Engn, Tianjin Key Lab Intelligent Unmanned Swarm Technol, Tianjin 300072, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Xiong,Wei, Qinglai. Adaptive Dynamic Programming for Robust Event-Driven Tracking Control of Nonlinear Systems With Asymmetric Input Constraints[J]. IEEE TRANSACTIONS ON CYBERNETICS,2024:12. |
| APA | Yang, Xiong,&Wei, Qinglai.(2024).Adaptive Dynamic Programming for Robust Event-Driven Tracking Control of Nonlinear Systems With Asymmetric Input Constraints.IEEE TRANSACTIONS ON CYBERNETICS,12. |
| MLA | Yang, Xiong,et al."Adaptive Dynamic Programming for Robust Event-Driven Tracking Control of Nonlinear Systems With Asymmetric Input Constraints".IEEE TRANSACTIONS ON CYBERNETICS (2024):12. |
入库方式： OAI收割
来源：自动化研究所
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