DocumentCode
2977073
Title
Stochastic controllability and stochastic Lyapunov functions
Author
Meyn, S.P.
Author_Institution
Dept. of Syst. Eng., Australian Nat. Univ., Canberra, ACT, Australia
fYear
1988
fDate
7-9 Dec 1988
Firstpage
1913
Abstract
Sufficient conditions are established under which the law of large numbers and related ergodic theorems hold for nonlinear stochastic systems operating under feedback. It is shown that these conditions hold whenever a moment condition is satisfied, which may be interpreted as a generalization of the martingale property. If in addition a stochastic controllability condition holds, then it is shown that the underlying distributions governing the system converge to an invariant probability at a geometric rate. These results are illustrated with an example from nonlinear control theory
Keywords
Lyapunov methods; controllability; feedback; nonlinear control systems; stochastic systems; Lyapunov functions; controllability; ergodic theorems; feedback; geometric convergence; law of large numbers; martingale property; nonlinear systems; stochastic systems; Closed loop systems; Controllability; Difference equations; Feedback; Level set; Lyapunov method; Stability; Stochastic processes; Stochastic systems; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/CDC.1988.194661
Filename
194661
Link To Document