量化(信号处理)
控制理论(社会学)
马尔可夫链
马尔可夫过程
数学
有界函数
网络数据包
线性系统
计算机科学
控制(管理)
算法
计算机网络
统计
数学分析
人工智能
作者
Jiasheng Song,Xiao‐Heng Chang
标识
DOI:10.1016/j.amc.2020.125070
摘要
This paper is concerned with the problem of H∞ static output-feedback control for networked control systems (NCSs) with quantization and Markov packet dropouts. A new quantization structure is proposed, and a mathematical treatment of this structure is given to illustrate the advantage for the quantization effects. Moreover, two Markov chains are adopted to describe the packet dropouts, not all the elements of the transition probability matrices are assumed to be known. Then, the closed-loop systems are modeled as the Markov jump linear systems (MJLSs) with partly unknown transition probabilities. An H∞ static output-feedback controller design method is given to ensure the stability of the corresponding closed-loop systems with proposed quantization structure and satisfy the H∞ performance for the external bounded disturbance in terms of linear matrix inequalities (LMIs). A simulation example is utilized to demonstrate the effectiveness and the applicability of developed approach.
科研通智能强力驱动
Strongly Powered by AbleSci AI