控制理论(社会学)
控制器(灌溉)
马尔可夫链
网络控制系统
线性矩阵不等式
线性系统
计算机科学
马尔可夫过程
理论(学习稳定性)
执行机构
离散时间和连续时间
输出反馈
数学
控制(管理)
数学优化
统计
人工智能
机器学习
数学分析
农学
生物
出处
期刊:IEEE Transactions on Automatic Control
[Institute of Electrical and Electronics Engineers]
日期:2009-07-01
卷期号:54 (7): 1668-1674
被引量:547
标识
DOI:10.1109/tac.2009.2020638
摘要
This note investigates the output feedback stabilization of networked control systems (NCSs). The sensor-to-controller (S-C) and controller-to-actuator (C-A) random network-induced delays are modeled as Markov chains. The focus is on the design of a two-mode-dependent controller that depends on not only the current S-C delay but also the most recent available C-A delay at the controller node. The resulting closed-loop system is transformed to a special discrete-time jump linear system. Then, the sufficient and necessary conditions for the stochastic stability are established. Further, the output feedback controller is designed via the iterative linear matrix inequality (LMI) approach. Simulation examples illustrate the effectiveness of the proposed method.
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