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Decentralized stabilization of a class of interconnected stochastic nonlinear systems. (English) Zbl 0983.93003

The authors consider an interconnected large-scale stochastic system consisting of N subsystems given by the following nonlinear stochastic differential equations

dx ij =x i,j+1 dt+ϕ ij (x ¯ ij )dw i +h ij (x ¯ ij ,X i1 ),1jn i -1
dx in i =u i dt+ϕ in i (x ¯ in i )dw i +h in i (x ¯ in i ,X i1 ),(1)

where x ¯ ij =[x i1 ,,x ij ] T , j=1,,n i , i=1,,N are the states of the ith subsystem X i1 =[x 11 ,x 21 ,,x i-1,1 , x i+1,1 ,,x N1 ] T , u i is the control of the ith subsystem, w i , i=1,,N are r i -dimensional standard Wiener processes, ϕ ij (x ¯ ij ), j=1,,n i are r i -dimensional smooth row vector functions with ϕ ij (0)=0, and h ij (x ¯ ij ,X i1 ), j=1,,n i are r i -dimensional smooth interconnections between the ith subsystem and jth subsystem with h ij (0,0)=0. The interconnections are bounded by strong nonlinear functions that contain first-order and higher-order polynomials as special cases.

The authors present a decentralized control such that the closed-loop interconnected system (1) is globally asymptotically stable in probability for all admissible interconnections. They show that the decentralized global stabilization via both state feedback and output feedback can be solved by a Lyapunov-based recursive design method.

MSC:
93A14Decentralized systems
93D15Stabilization of systems by feedback
93A15Large scale systems
93E15Stochastic stability