Title :
Stochastic controllability and stochastic Lyapunov functions
Author_Institution :
Dept. of Syst. Eng., Australian Nat. Univ., Canberra, ACT, Australia
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;
Conference_Titel :
Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
Conference_Location :
Austin, TX
DOI :
10.1109/CDC.1988.194661