Distributed adaptive dynamic programming for heterogeneous interconnected systems under cyber attacks

被引：0

作者：

Zhang, Long-Jie ^{[1
,2
]}

Chen, Yong ^{[1
,2
]}

Liu, Yue-Zhi ^{[1
,2
]}

Pan, Cheng-Wei ^{[1
,2
]}

机构：

[1] School of Automation Engineering, University of Electronic Science and Technology of China, Sichuan, Chengdu

[2] Sichuan Province Engineering Technology Research Center for Electric Vehicle Driving System and Safety, Sichuan, Chengdu

来源：

Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2025年 / 42卷 / 04期

基金：

中国国家自然科学基金;

关键词：

ADP; cyber-attacks; distributed control; finite-time critic-actor algorithm; heterogeneous interconnected systems; optimal control;

D O I：

10.7641/CTA.2023.21026

中图分类号：

学科分类号：

摘要：

This article considers the secure state estimation and control for the heterogeneous interconnected systems under node-injected attacks, and a finite-time adaptive dynamic programming based on the distributed secure remote estimation is designed to improve the security of the control systems. Firstly, to recover the state information of the heterogeneous interconnected systems under the node-injected attacks, the distributed remote secure estimator is designed based on the unscented Kalman filter and the optimal attack compensation strategy. Then, by combining the optimal objective of the secure estimation and the optimal objective of the consensus, the distributed secure optimal control strategy is presented based on the solution of the Hamilton equation. Furthermore, to approximate the optimal controller and value function in the finite-time, the finite-time tuning laws of the critic-actor network are proposed based on the policy iteration algorithm and finite-time optimization. Finally, the effectiveness of the proposed method is verified by the comparison result analysis. © 2025 South China University of Technology. All rights reserved.

引用

页码：669 / 678

页数：9

共 26 条

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