Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control Approach
文献类型：期刊论文
| 作者 | Liu, Derong; Wang, Ding ; Li, Hongliang
|
| 刊名 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
 |
| 出版日期 | 2014-02-01 |
| 卷号 | 25期号:2页码:418-428 |
| 关键词 | Adaptive dynamic programming decentralized control large-scale systems neural networks nonlinear interconnected systems optimal control policy iteration reinforcement learning |
| 英文摘要 | In this paper, using a neural-network-based online learning optimal control approach, a novel decentralized control strategy is developed to stabilize a class of continuous-time nonlinear interconnected large-scale systems. First, optimal controllers of the isolated subsystems are designed with cost functions reflecting the bounds of interconnections. Then, it is proven that the decentralized control strategy of the overall system can be established by adding appropriate feedback gains to the optimal control policies of the isolated subsystems. Next, an online policy iteration algorithm is presented to solve the Hamilton-Jacobi-Bellman equations related to the optimal control problem. Through constructing a set of critic neural networks, the cost functions can be obtained approximately, followed by the control policies. Furthermore, the dynamics of the estimation errors of the critic networks are verified to be uniformly and ultimately bounded. Finally, a simulation example is provided to illustrate the effectiveness of the present decentralized control scheme. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | ADAPTIVE CRITIC DESIGNS ; LARGE-SCALE SYSTEMS ; NEURAL-NETWORK ; OPTIMAL-REGULATORS ; TRACKING CONTROL ; FEEDBACK-CONTROL ; LINEAR-SYSTEMS ; POLICY UPDATE ; REINFORCEMENT ; IMPLEMENTATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000330040800014 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3841]  |
| 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 |
| 作者单位 | 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 | Liu, Derong,Wang, Ding,Li, Hongliang. Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control Approach[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2014,25(2):418-428. |
| APA | Liu, Derong,Wang, Ding,&Li, Hongliang.(2014).Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control Approach.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,25(2),418-428. |
| MLA | Liu, Derong,et al."Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control Approach".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 25.2(2014):418-428. |
入库方式： OAI收割
来源：自动化研究所
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