Title : 
Stochastic H2/H∞ control for continuous-time Markov jump linear systems with (x, u, v)-dependent noise based on Nash game approach
         
        
            Author : 
Huainian, Zhu ; Chengke, Zhang ; Ning, Bin ; Haiying, Zhou
         
        
            Author_Institution : 
School of Management, Guangdong University of Technology, Guangzhou 510520, China
         
        
        
        
        
        
            Abstract : 
In this paper, finite and infinite horizon stochastic H2/H∞ control problems with all state, control input and external disturbance-dependent noise are studied. It is shown that the existence condition of finite horizon stochastic H2/H∞ control is equivalent to the solvability of four coupled differential Riccati equations, and that of infinite horizon stochastic H2/H∞ control is equivalent to the solvability of four coupled algebraic Riccati equations.
         
        
            Keywords : 
Attenuation; Infinite horizon; Linear systems; Markov processes; Noise; Riccati equations; Differential games; Markov jump linear systems; Stochastic H2/H∞ control;
         
        
        
        
            Conference_Titel : 
Control Conference (CCC), 2012 31st Chinese
         
        
            Conference_Location : 
Hefei, China
         
        
        
            Print_ISBN : 
978-1-4673-2581-3