Title :
Stabilizability and positiveness of solutions of the jump linear quadratic problem and the coupled algebraic Riccati equation
Author :
Val, J.B.Rd. ; Costa, Eduardo F.
Author_Institution :
Departamento de Telematica, UNICAMP-Faculdade de Engenharia Eletrica e de Computacao, Campinas, Brazil
fDate :
5/1/2005 12:00:00 AM
Abstract :
This note addresses the jump linear quadratic problem of Markov jump linear systems and the associated algebraic Riccati equation. Necessary and sufficient conditions for stability of the optimal control and positiveness of Riccati solutions are developed. We show that the concept of weak detectability is not only a sufficient condition for the finiteness of cost functional to imply stability of the associated trajectory, but also a necessary one. This, together with a characterization developed here for the kernel of the Riccati solution, allows us to show that the control solution stabilizes the system if and only if the system is weakly detectable, and that the Riccati solution is positive-definite if and only if the system is weakly observable. The connection between the algebraic Riccati equation and the control problem is made, as far as the minimal positive-semidefinite solution for the algebraic Riccati equation is identified with the optimal solution of the linear quadratic problem. Illustrative numerical examples and comparisons are included.
Keywords :
Markov processes; Riccati equations; linear quadratic control; stability; Markov jump linear system; algebraic Riccati equation; detectability; jump linear quadratic problem; optimal control; stability; Control systems; Cost function; Kernel; Linear systems; Observability; Optimal control; Riccati equations; Stability; Sufficient conditions; Detectability; Markov jump linear systems (MJLSs); observability; quadratic control problem;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2005.846600