Distributed Finite-Time ADP-Based Optimal Secure Control for Complex Interconnected Systems Under Topology Attacks

被引:3
作者
Zhang, Longjie [1 ,2 ]
Chen, Yong [1 ,2 ]
机构
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Sichuan, Peoples R China
[2] Sichuan Prov Engn Technol Res Ctr Elect Vehicle Dr, Chengdu 611731, Sichuan, Peoples R China
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2024年 / 54卷 / 05期
关键词
Topology; Interconnected systems; Network topology; Optimization; Optimal control; Asymptotic stability; Security; ADP; distributed control; finite-time optimal control; topology attacks; MULTIAGENT SYSTEMS; NONLINEAR-SYSTEMS; STABILIZATION; CONSENSUS; NETWORKS;
D O I
10.1109/TSMC.2024.3351909
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Motivated by finite-time optimization, this article concentrates on the finite-time stability of the complex interconnected systems under the topology attacks on communication edges. First, the models of the complex interconnected system and the topology attacks constrained by the limitation of the attack duration and frequency are described. Then, by mapping the value function into finite-time stability space, the distributed finite-time optimal consensus control (FTOCC) framework is designed. The tolerance limits of the proposed FTOCC for the topology attacks are analyzed under finite-time stability. Furthermore, a signal finite-time critic network and the control input approximation are presented to implement the secure optimal control strategy with finite-time convergence characteristics. And the practical finite-time stability of the closed-loop systems is guaranteed theoretically. Finally, the effectiveness of the proposed distributed finite-time adaptive dynamic programming-based optimal control scheme is illustrated by the comparison experiments.
引用
收藏
页码:2872 / 2883
页数:12
相关论文
共 38 条
[1]   Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach [J].
Abu-Khalaf, M ;
Lewis, FL .
AUTOMATICA, 2005, 41 (05) :779-791
[2]   Distributed Secure State Estimation and Control for CPSs Under Sensor Attacks [J].
Ao, Wei ;
Song, Yongduan ;
Wen, Changyun .
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (01) :259-269
[3]   Reinforcement Learning and Adaptive Optimal Control for Continuous-Time Nonlinear Systems: A Value Iteration Approach [J].
Bian, Tao ;
Jiang, Zhong-Ping .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (07) :2781-2790
[4]   Finite-Time Stability Under Denial of Service [J].
Doostmohammadian, Mohammadreza ;
Meskin, Nader .
IEEE SYSTEMS JOURNAL, 2021, 15 (01) :1048-1055
[5]   Resilient control under Denial-of-Service: Robust design [J].
Feng, Shuai ;
Tesi, Pietro .
AUTOMATICA, 2017, 79 :42-51
[6]   Finite-Time Distributed Convex Optimization for Continuous-Time Multiagent Systems With Disturbance Rejection [J].
Feng, Zhi ;
Hu, Guoqiang ;
Cassandras, Christos G. .
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2020, 7 (02) :686-698
[7]   Secure Cooperative Event-Triggered Control of Linear Multiagent Systems Under DoS Attacks [J].
Feng, Zhi ;
Hu, Guoqiang .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2020, 28 (03) :741-752
[8]   Control of a nonholonomic mobile robot using neural networks [J].
Fierro, R ;
Lewis, FL .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1998, 9 (04) :589-600
[9]   Event-Triggered Adaptive Fault-Tolerant Pinning Control for Cluster Consensus of Heterogeneous Nonlinear Multi-Agent Systems Under Aperiodic DoS Attacks [J].
Guo, Xiang-Gui ;
Liu, Pei-Ming ;
Wang, Jian-Liang ;
Ahn, Choon Ki .
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2021, 8 (02) :1941-1956
[10]   Finite-Time Stabilization and Optimal Feedback Control [J].
Haddad, Wassim M. ;
L'Afflitto, Andrea .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2016, 61 (04) :1069-1074