对数
马尔可夫过程
控制理论(社会学)
跳跃
模式(计算机接口)
计算机科学
理论(学习稳定性)
班级(哲学)
数学
控制(管理)
数学分析
物理
统计
量子力学
人工智能
机器学习
操作系统
作者
Ming Liu,Daniel W. C. Ho,Jianquan Lu
出处
期刊:Asian Control Conference
日期:2009-10-02
卷期号:: 226-231
被引量:4
摘要
In this paper, we deal with the problem of quantized control strategy design for a class of discrete time Markovian jump linear systems with limited communication capacity. We generalize the static Quantizer design method of Elia and Mitter [2] to stochastic system with Markovian jump parameter. The concept of mode-dependent logarithmic Quantizer is presented firstly in this paper, which is employed to ensure the stochastic stability of the quantized closedloop system. For the logarithmic mode-dependent Quantizer, it is shown that for each mode the corresponding individual Quantizer possess the logarithmic characterization. Moreover, by including the transition rates of mode, the proposed modedependent Quantizer can overcome the effect of Markovian switching. A numerical example is exploited to show the usefulness of the results derived.
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