Title :
Exponential stability of singularly perturbed stochastic systems
Author_Institution :
Inst. of Transp., Silesian Tech. Univ., Gliwice, Poland
Abstract :
The sufficient conditions of exponential stability of singularly perturbed nonlinear stochastic systems are established. The excitations are assumed to be parametric white noises. In this case the objective is to analyse the full order system in their lower order subsystems i.e., the reduced order system and the boundary-layer system and in terms of their interconnecting structure and the perturbation parameter ε. The exponential bounds depend on the moments of norms of trajectories are given for the “slow” and “fast” components of the full-order system. It is also shown the estimation of the rate of convergence of the full-order system
Keywords :
asymptotic stability; control system analysis; convergence; interconnected systems; nonlinear control systems; reduced order systems; singularly perturbed systems; stochastic systems; white noise; boundary-layer system; convergence rate; exponential stability criteria; interconnecting structure; parametric white noises; perturbation parameter; singularly perturbed nonlinear stochastic systems; Asymptotic stability; Convergence; Differential equations; Indium tin oxide; Nonlinear equations; Reduced order systems; Stability analysis; Stochastic systems; Sufficient conditions; White noise;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.757726