Title :
On almost sure sample stability of nonlinear stochastic dynamic systems
Author :
Zhi Yu Zhang ; Kozin, Frank
Author_Institution :
Dept. of Electr. Eng., Polytechnic Univ., Brooklyn, NY, USA
fDate :
3/1/1994 12:00:00 AM
Abstract :
In this note, an extension of Khasminskii´s theorem on almost sure stability of linear stochastic differential equations to a class of nonlinear stochastic differential equations is presented. The necessary and sufficient conditions for almost sure stability are proved. It is shown that in the second-order case, the stable region can be exactly determined by studying the singular boundaries of one-dimensional diffusion processes. The authors present a modified form of Feller´s criteria for classification of singular boundaries. The new criteria are equivalent to and much simpler for applications than Feller´s criteria. Two examples of nonlinear stochastic dynamic systems with stable regions illustrate the application procedures
Keywords :
diffusion; linear differential equations; nonlinear control systems; nonlinear differential equations; stability; stochastic systems; Feller´s criteria; Khasminskii´s theorem; almost sure sample stability; classification; linear stochastic differential equations; necessary and sufficient conditions; nonlinear stochastic differential equations; nonlinear stochastic dynamic systems; one-dimensional diffusion processes; second-order case; singular boundaries; Asymptotic stability; Differential equations; Markov processes; Nonlinear equations; Stochastic processes; Stochastic systems;
Journal_Title :
Automatic Control, IEEE Transactions on