Title : 
Exponential convergence of multi-dimensional stochastic mechanical systems with switching
         
        
            Author : 
Anulova, S.V. ; Veretennikov, A.Yu. ; Shcherbakov, P.S.
         
        
            Author_Institution : 
Inst. for Control Sci., Moscow, Russia
         
        
        
        
        
        
            Abstract : 
This research stems from a control problem for a suspension device. For a general switching stochastic mechanical system with a closed-loop control we establish under the linear growth condition on coefficients, that: 1) there exists a unique solution of the system, with a strong Markov property; 2) a mixing condition in the local Markov-Dobrushin form holds; 3) the system is exponentially stochastic stable.
         
        
            Keywords : 
Markov processes; asymptotic stability; mechanical variables control; stochastic systems; suspensions (mechanical components); time-varying systems; Markov property; Markov-Dobrushin form; closed-loop control; exponential convergence; exponentially stochastic stablility; general switching stochastic mechanical system; multidimensional stochastic mechanical systems; suspension device; Convergence; Markov processes; Mathematical model; Suspensions; Switches; Trajectory;
         
        
        
        
            Conference_Titel : 
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
         
        
            Conference_Location : 
Firenze
         
        
        
            Print_ISBN : 
978-1-4673-5714-2
         
        
        
            DOI : 
10.1109/CDC.2013.6760048