Stochastic Stability, ℒ1-gain and Control Synthesis for Positive Semi-Markov Jump Systems

Autor: Xianwen Gao, Yonggui Kao, Wenhai Qi, Longjiang Zhao, Lihua Zhang
Rok vydání: 2018
Předmět:
Zdroj: International Journal of Control, Automation and Systems. 16:2055-2062
ISSN: 2005-4092
1598-6446
DOI: 10.1007/s12555-017-0628-7
Popis: This paper treats the problems of stochastic stability, ℒ1-gain and control synthesis for positive semi-Markov jump systems (S-MJSs). The system under consideration involves semi-Markov stochastic process related to Weibull distribution. The main motivation for this paper is that the positive condition sometimes needs to be considered in S-MJSs and the controller design methods in the existing works have some conservation. To deal with these problems, some sufficient conditions for stochastic stability of positive S-MJSs are established by implying the linear co-positive Lyapunov function. Then, some sufficient conditions for ℒ1-gain constraint are also presented, upon which, a state feedback controller is designed by decomposing the controller gain matrix such that the resulting closed-loop system is positive and stochastically stable with ℒ1-gain performance in the form of standard linear programming (LP). The advantages of the new framework lie in the following facts: (1) the weak infinitesimal operator is derived for S-MJSs under the constraint of positive condition and (2) the less conservative stabilizing controller is designed to achieve the desired control performance. Finally, numerical examples are given to demonstrate the validity of the main results.
Databáze: OpenAIRE
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