Title :
Perturbation of multivariable linear quadratic systems with jump parameters
Author :
El Azouzi, R. ; Abbad, M. ; Altman, E.
Author_Institution :
INRIA, Sophia-Antipolis, France
fDate :
10/1/2001 12:00:00 AM
Abstract :
Considers the problem of the perturbation of a class of linear quadratic systems where the change from one structure (for the dynamics and costs) to another is governed by a finite-state Markov process. The problem above leads to the analysis of some perturbed linearly coupled sets of Riccati equations. We show that the matrix obtained as the solution of the equations, which determines the optimal value and control, has a Taylor expansion in the perturbation parameter. We compute explicitly the terms of this expansion
Keywords :
Markov processes; Riccati equations; linear quadratic control; linear systems; multidimensional systems; multivariable control systems; singularly perturbed systems; Riccati equations; Taylor expansion; finite-state Markov process; jump parameters; multivariable linear quadratic systems; optimal value; perturbation; Control design; Costs; Linear systems; Markov processes; Optimal control; Perturbation methods; Production management; Riccati equations; State-space methods; Taylor series;
Journal_Title :
Automatic Control, IEEE Transactions on