Title :
Stabilizing control law for hybrid models
Author :
Dufour, F. ; Bertrand, P.
Author_Institution :
Lab. des Signaux et Syst., CNRS, Gif-sur-Yvette, France
fDate :
11/1/1994 12:00:00 AM
Abstract :
This note is concerned with the adaptive stabilizing control problem for jump-Markov systems. A new control law is proposed based on a simple set of algebraic sufficient conditions. It is shown that this approach can be used for a class of stochastic models for which the more restrictive solution proposed by Caines and Zhang (1992) does not apply
Keywords :
Markov processes; adaptive control; algebra; feedback; stability; stochastic systems; adaptive stabilizing control; algebraic sufficient conditions; hybrid models; jump-Markov systems; stabilizing control law; stochastic models; Automatic control; Control systems; Digital control; H infinity control; MIMO; Optimal control; Output feedback; Periodic structures; Sampling methods; Time invariant systems;
Journal_Title :
Automatic Control, IEEE Transactions on
