Title :
On the stabilizing control of a class of nonlinear stochastic systems
Author_Institution :
Dept. of Electr. Eng., Arkansas Univ., Fayetteville, AR, USA
fDate :
1/1/1991 12:00:00 AM
Abstract :
A class of discrete-time nonlinear stochastic control systems is considered. By using previously established proper mean-square stabilizability and observability conditions, the author shows the relationship between the stabilization conditions for the moving- and infinite-horizon quadratic optimal controllers. In this way, the existence of the mean-square stabilizing infinite-horizon controller implies the existence of a multitude of moving finite-horizon controllers with different horizon lengths with the same stability property. The results allow the use of finite-stage solutions of a Riccati-like matrix equation in a stabilizing control design which can drastically reduce the computation time
Keywords :
discrete time systems; nonlinear control systems; observability; stability; stochastic systems; design; discrete time systems; infinite-horizon controller; matrix equation; nonlinear stochastic systems; observability; stability; stabilizability; stabilization; Control systems; Nonlinear control systems; Observability; Optimal control; Riccati equations; Stability; Stochastic systems; Symmetric matrices; Testing; Vectors;
Journal_Title :
Automatic Control, IEEE Transactions on