Title :
Exponential stability of singularly perturbed stochastic systems
Author_Institution :
Inst. of Transp., Silesian Tech. Univ., Katowice, Poland
fDate :
3/1/2000 12:00:00 AM
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 analyze 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 varepsilon. The exponential bounds depend on the moments of norms of trajectories given for the “slow” and “fast” components of the full-order system. The estimation of the rate of convergence of the full-order system is also shown
Keywords :
asymptotic stability; convergence; nonlinear systems; singularly perturbed systems; stochastic systems; white noise; boundary-layer system; convergence; exponential stability; full-order system; nonlinear systems; parametric white noises; reduced-order system; singularly perturbed systems; stochastic systems; sufficient conditions; Asymptotic stability; Convergence; Indium tin oxide; Nonlinear equations; Reduced order systems; Stability analysis; Stochastic systems; Sufficient conditions; Symmetric matrices; White noise;
Journal_Title :
Automatic Control, IEEE Transactions on