控制理论(社会学)
输出反馈
跳跃
量化(信号处理)
反馈控制
信号(编程语言)
计算机科学
控制(管理)
数学
控制工程
工程类
物理
算法
人工智能
量子力学
程序设计语言
作者
Xuede Zhou,Yan Wang,Zhicheng Ji
摘要
Abstract This article studies the output feedback control problem for event‐triggered Markovian jump networked control systems with signal quantization. First, a Lyapunov–Krasovskii function is constructed, which contains time delay, upper bound of time delay and conditional transition probability information of Markovian jump systems. Second, when using the Wirtinger's inequality and the Reciprocally convex inequality to estimate the upper bound of the delay of the weak infinitesimal generator operator of the Lyapunov–Krasovskii function, the event‐triggered scheme and the signal quantization scheme are introduced. Finally, the stability criterion of the closed‐loop system of event‐triggered Markovian jump networked control systems and the design method of the output feedback controller of disturbance attenuation level are given in the form of linear matrix inequalities (LMIs). The effectiveness of the proposed method is verified by two numerical examples.
科研通智能强力驱动
Strongly Powered by AbleSci AI