The weak stabilizability concept for linear systems with Markov jump

Author(s)

Amanda Liz Pacífico Manfrim

• Document type: Master's Dissertation
• Press: São Carlos.
• Institution: Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB)
• Defense date: 2006-03-08

Examining board members

Eduardo Fontoura Costa; Marco Henrique Terra; João Bosco Ribeiro do Val

• Advisor: Eduardo Fontoura Costa

Abstract

This work introduces weak controllability and weak stabilizability concepts for discretetime Markov jump linear system. We introduce a collection of matrices C that resembles controllability matrices of deterministic linear systems. The collection of matrices C allows us to define a weak controllability concept by requiring that the matrices are full rank, as well as to introduce a weak stabilizability concept that is a dual of the weak detectability concept found in the literature of Markov jump systems. An important feature of the introduced concept is that it generalizes the previous concept of mean square stabilizability. The role that the weak stabilizability concept plays in the filtering problem is investigated via case studies. These case studies are developed in the context of Kalman filtering with observation of the Markov parameter, they suggest that weak stabilizability together with mean square stabilizability ensure that the state estimator is mean square stable. (AU)