Stabilizing control of Markovian jump systems with sampled switching and state signals and applications

控制理论(社会学) 跳跃 采样(信号处理) 计算机科学 国家(计算机科学) 控制器(灌溉) 基质(化学分析) 理论(学习稳定性) 控制(管理) 算法 电信 人工智能 探测器 生物 农学 机器学习 物理 复合材料 材料科学 量子力学
作者
Guoliang Wang,Yunshuai Ren,Chao Huang
出处
期刊:International Journal of Robust and Nonlinear Control [Wiley]
卷期号:33 (10): 5198-5228 被引量:4
标识
DOI:10.1002/rnc.6637
摘要

Abstract This article addresses the stabilization problem of continuous‐time Markovian jump systems (MJSs). Because of both switching and state signals sampled, a novel system with an exponential matrix characterizing the sampling effects is developed. It is used to be an auxiliary system and plays important roles in system analysis and synthesis. Sufficient stabilization conditions are presented and fully consider the sampling rate. The applications of established methods and results are applied to networked control in the presence of denial‐of‐service (DoS). The frequency and duration of DoS attacks ensuring stability of the closed‐loop system are characterized. Meanwhile, more special situations about particular transition rate matrix, sampling logic and improved mode‐dependent controller are considered respectively. The analysis results are significant and bring an important method to study the control for MJSs with sampled switching and state signals. A numerical example is offered to verify the effectiveness and superiority of the methods proposed in this study.

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