Title :
Numerical solution for the linear-quadratic control problem of Markov jump linear systems and a weak detectability concept
Author :
do Val, Joao B. R. ; Costa, Eduardo F.
Author_Institution :
Depto. de Telematica, UNICAMP, Campinas, Brazil
Abstract :
A method for solving the linear quadratic problem of Markov jump linear systems is developed in this paper, relying on the assumption of weak detectability. This concept of detectability generalizes previous concepts relevant to this class of systems, and most importantly, it allows us to revisit the quadratic control problem. In the main result of the paper, we show for weakly detectable systems that the solution of the new method converges to the solution of the coupled algebraic Riccati equation if and only if the system is mean-square stabilizable.
Keywords :
Markov processes; Riccati equations; linear quadratic control; linear systems; stability; Markov jump linear systems; coupled algebraic Riccati equation; linear-quadratic control problem; mean-square stabilizable system; numerical solution; weak detectability; weakly detectable systems; Bismuth; Convergence; Europe; Linear systems; Markov processes; Observability; Riccati equations; Markov systems; detectability and observability of stochastic systems; multivariable control; numerical methods for stochastic systems; optimal control;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2