Title : 
Stochastic stability of semi-Markov jump linear systems: An LMI approach
         
        
            Author : 
Huang, Ji ; Shi, Yang
         
        
            Author_Institution : 
Dept. of Mech. Eng., Univ. of Victoria, Victoria, BC, Canada
         
        
        
        
        
        
            Abstract : 
The semi-Markov jump linear system is more general than the classic Markov jump linear system. In the semi-Markov jump linear systems, the governing stochastic process is not a Markov process, but a semi-Markov process. Instead of the exponential distribution for the sojourn-time in each mode in the jump linear system, the Weibull distribution is considered in this paper. By deriving the infinitesimal generator for the Lyapunov function of the semi-Markov jump linear system, the numerically testable sufficient conditions for stochastic stability of semi-Markov jump linear systems are obtained. Numerical examples are provided to validate the proposed sufficient stochastic stability conditions.
         
        
            Keywords : 
Lyapunov methods; Markov processes; Weibull distribution; exponential distribution; linear matrix inequalities; linear systems; stability; stochastic systems; LMI approach; Lyapunov function; Weibull distribution; exponential distribution; infinitesimal generator; linear matrix inequality; semiMarkov jump linear systems; semiMarkov process; sojourn-time; stochastic process; stochastic stability; Exponential distribution; Linear systems; Markov processes; Numerical stability; Stability analysis;
         
        
        
        
            Conference_Titel : 
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
         
        
            Conference_Location : 
Orlando, FL
         
        
        
            Print_ISBN : 
978-1-61284-800-6
         
        
            Electronic_ISBN : 
0743-1546
         
        
        
            DOI : 
10.1109/CDC.2011.6161313