Distributed Secure Coordinated Control for Multiagent Systems Under Strategic Attacks
研究了多智能体系统在随机马尔可夫过程建模的战略网络攻击下，如何设计分布式安全控制律实现均方指数一致性跟踪，并考虑了连接恢复机制和攻击特性。
This paper studies a distributed secure consensus tracking control problem for multiagent systems subject to strategic cyber attacks modeled by a random Markov process. A hybrid stochastic secure control framework is established for designing a distributed secure control law such that mean-square exponential consensus tracking is achieved. A connectivity restoration mechanism is considered and the properties on attack frequency and attack length rate are investigated, respectively. Based on the solutions of an algebraic Riccati equation and an algebraic Riccati inequality, a procedure to select the control gains is provided and stability analysis is studied by using Lyapunov's method.. The effect of strategic attacks on discrete-time systems is also investigated. Finally, numerical examples are provided to illustrate the effectiveness of theoretical analysis.