凸性
马尔可夫链
转移率矩阵
领域(数学分析)
马尔可夫过程
离散时间和连续时间
数学
线性系统
理论(学习稳定性)
跳跃
随机矩阵
控制理论(社会学)
应用数学
过渡(遗传学)
马尔可夫核
计算机科学
数学优化
马尔可夫模型
变阶马尔可夫模型
数学分析
控制(管理)
物理
机器学习
量子力学
人工智能
生物化学
经济
金融经济学
化学
统计
基因
作者
Lixian Zhang,James Lam
出处
期刊:IEEE Transactions on Automatic Control
[Institute of Electrical and Electronics Engineers]
日期:2010-07-01
卷期号:55 (7): 1695-1701
被引量:468
标识
DOI:10.1109/tac.2010.2046607
摘要
This technical note is concerned with exploring a new approach for the analysis and synthesis for Markov jump linear systems with incomplete transition descriptions. In the study, not all the elements of the transition rate matrices (TRMs) in continuous-time domain, or transition probability matrices (TPMs) in discrete-time domain are assumed to be known. By fully considering the properties of the TRMs and TPMs, and the convexity of the uncertain domains, necessary and sufficient criteria of stability and stabilization are obtained in both continuous and discrete time. Numerical examples are used to illustrate the results.
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