Control of Linear Systems with Markov Jump Parameters and Long Run Average Cost

• Grant number: 08/02035-8
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: July 01, 2008
• End date: January 31, 2012
• Field of knowledge: Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
• Principal Investigator: Eduardo Fontoura Costa
• Grantee: Carlos Alexandre Silva
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

This work addresses control for linear systems with Markov jump parameters (LMJP), which is an important class of systems that can be employed asmodels for several applications. Recently, we derived results concerning control of LMJP with additive noise, showing that the long run averagecost (LRAC) converges under some mild conditions on the system. Now, we are interested in studying the stochastic stability of the system with finite LRAC control, as well as to calculate the optimal LRAC control via different optimization methods. We are also interested in analytical results concerning the convergence of those methods, when applied to the LRAC optimal control problem. We believe that these issues are relevant for theory and application of dynamical systems.

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

SILVA, Carlos Alexandre. Algorithms for the long run average cost for linear systems with partially observed Markov jump parameters. 2012. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.