Title : 
Finite-Time Stability and Stabilization of Itô Stochastic Systems With Markovian Switching: Mode-Dependent Parameter Approach
         
        
            Author : 
Zhiguo Yan ; Weihai Zhang ; Guoshan Zhang
         
        
            Author_Institution : 
Sch. of Electr. Eng. & Autom., Qilu Univ. of Technol., Jinan, China
         
        
        
        
        
        
        
            Abstract : 
This technical note is concerned about the finite-time stability and stabilization for Itô stochastic systems with Markovian switching. A mode-dependent parameter approach is proposed to give a sufficient condition for finite-time stability, and its superiority to common parameter approach is analyzed. Moreover, the finite-time stabilization is studied and two new sufficient conditions for the existence of state and output feedback controllers are presented in terms of coupled matrix inequalities. A N-mode algorithm is given for solving the obtained matrix inequalities arising from finite-time stability(stabilization). Finally, an example is employed to illustrate the effectiveness of our obtained results.
         
        
            Keywords : 
Markov processes; matrix algebra; stability; state feedback; stochastic systems; switching systems (control); Itô stochastic systems; Markovian switching; N-mode algorithm; coupled matrix inequalities; finite-time stability; mode-dependent parameter approach; output feedback controller; parameter approach; state feedback controller; sufficient condition; sufficient conditions; Linear matrix inequalities; Output feedback; Stability criteria; State feedback; Stochastic systems; Switches; Finite-time stability; Markovian switching; Stochastic systems; finite-time stability; stochastic systems;
         
        
        
            Journal_Title : 
Automatic Control, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TAC.2014.2382992