控制理论(社会学)
线性系统
数学
规范(哲学)
有界函数
鲁棒控制
马尔可夫过程
理论(学习稳定性)
马尔可夫链
稳健性(进化)
上下界
跳跃
线性矩阵不等式
数学优化
计算机科学
控制系统
控制(管理)
工程类
数学分析
法学
政治学
化学
人工智能
量子力学
物理
机器学习
电气工程
生物化学
统计
基因
作者
Mara Tanelli,Bruno Picasso,Paolo Bolzern,Patrizio Colaneri
出处
期刊:IEEE Transactions on Automatic Control
[Institute of Electrical and Electronics Engineers]
日期:2010-01-01
卷期号:55 (1): 195-201
被引量:60
标识
DOI:10.1109/tac.2009.2033844
摘要
This work deals with the robust almost sure (AS) stabilization problem for continuous-time Markov jump linear systems (MJLS). Norm-bounded uncertainties affecting the system state and input matrices are considered. A deterministically testable sufficient condition for robust AS stability is provided which relies on a bound on the 2-norm of the system transition matrix. Such a condition can be profitably employed also to design a robust feedback stabilization strategy. Such feedback design is based on a formulation of the sufficient condition for robust AS stability in terms of an equivalent LMI problem.
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