Mode-dependent Sampled Control of Linear Systems

摘要：

The problem of mode-dependent sampled control of linear systems is investigated in this paper. Based on Markov jumping theory, the delays from sensor to controller and sample period were combined and were modeled as humongous Markov jumping process with finite states. Then, based on input-delay approach, a kind of new stochastic Lyapunov- Krasovskii function dependent on sample period was introduced to give the sufficient condition in linear matrix inequality (LMI) from for stochastic stability by the method of free matrices. Then, the method for design of sampled controller for such system is also presented in LMI form. An illustrative example is included to demonstrate the effectiveness of the proposed techniques.

关键词： Stochastic Stability Mode-dependent LMI Markov process

作者: Hongliang Liu Huibo Zhou Peichen Wang

作者单位: Faculty of Mathematics Science, Harbin Normal University,and also with Center of Control Theory and Faculty of Mathematics Science, Harbin Normal University,and also with Center of Control Theory and Faculty of Mathematics Science, Heilongjiang Institute of Technology, China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 4053-4057

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）