跳跃
马尔可夫链
计算机科学
马尔可夫过程
多智能体系统
控制理论(社会学)
数学
数学优化
人工智能
机器学习
统计
控制(管理)
物理
量子力学
作者
Lifan Kang,Zhijian Ji,Yungang Liu,Chong Lin
标识
DOI:10.1080/00207721.2024.2328073
摘要
In this paper, the H∞ consensus problem of stochastic nonlinear multi-agent systems with time-delay, Markov jump and (x,u,v)-dependent noises is studied. Firstly, the H∞ consensus problem is transformed into a standard H∞ control problem by model transformation. Then, a dynamic output feedback control protocol is constructed by solving a set of linear matrix inequalities to ensure that the closed-loop system achieves the mean square consensus and meets the specified H∞ performance level. After that, both delay-independent and delay-dependent stochastic bounded real lemmas are established by taking advantage of the Lyapunov–Krasovskii function method and the generalised Ito^ formula. Finally, we illustrate the validity of the developed method with numerical simulations.
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