Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning
文献类型：期刊论文
| 作者 | Lina Xia; Qing Li; Ruizhuo Song; Hamidreza Modares |
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2022 |
| 卷号 | 9期号:3页码:520-532 |
| 关键词 | Asymmetric input-constrained heterogeneous nonlinear multiagent systems (MASs) Hamilton-Jacobi-Bellman (HJB) equation novel observer reinforcement learning (RL) |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2021.1004359 |
| 英文摘要 | The asymmetric input-constrained optimal synchronization problem of heterogeneous unknown nonlinear multiagent systems (MASs) is considered in the paper. Intuitively, a state-space transformation is performed such that satisfaction of symmetric input constraints for the transformed system guarantees satisfaction of asymmetric input constraints for the original system. Then, considering that the leader’s information is not available to every follower, a novel distributed observer is designed to estimate the leader’s state using only exchange of information among neighboring followers. After that, a network of augmented systems is constructed by combining observers and followers dynamics. A nonquadratic cost function is then leveraged for each augmented system (agent) for which its optimization satisfies input constraints and its corresponding constrained Hamilton-Jacobi-Bellman (HJB) equation is solved in a data-based fashion. More specifically, a data-based off-policy reinforcement learning (RL) algorithm is presented to learn the solution to the constrained HJB equation without requiring the complete knowledge of the agents’ dynamics. Convergence of the improved RL algorithm to the solution to the constrained HJB equation is also demonstrated. Finally, the correctness and validity of the theoretical results are demonstrated by a simulation example. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/47212]  |
| 专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
| 推荐引用方式 GB/T 7714 | Lina Xia,Qing Li,Ruizhuo Song,et al. Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(3):520-532. |
| APA | Lina Xia,Qing Li,Ruizhuo Song,&Hamidreza Modares.(2022).Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning.IEEE/CAA Journal of Automatica Sinica,9(3),520-532. |
| MLA | Lina Xia,et al."Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning".IEEE/CAA Journal of Automatica Sinica 9.3(2022):520-532. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。