On the state-feedback robust control of continuous-time infinite Markov jump linear systems

This paper addresses the robust H 2 guaranteed cost control of continuous-time Markov jump linear systems with transition parameters taking values in a countably infinite set. In the finite case, an adjoint approach to the robust control of MJLS in face of linear structured uncertainty is developed....

Full description

Saved in:
Bibliographic Details
Published in49th IEEE Conference on Decision and Control (CDC) pp. 6499 - 6504
Main Authors Todorov, M G, Fragoso, M D
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Control systems
Face
Linear systems
Markov processes
Robots
Robust control
Robustness
Online AccessGet full text

Cover

More Information
Summary:This paper addresses the robust H 2 guaranteed cost control of continuous-time Markov jump linear systems with transition parameters taking values in a countably infinite set. In the finite case, an adjoint approach to the robust control of MJLS in face of linear structured uncertainty is developed. Regarding the scenario of uncertain transition rates of the Markov process, the design of robust controllers is characterized by uncertainty-dependent linear matrix inequality problems. The main results are applied to the robust control of an underactuated robotic manipulator system.
ISBN:142447745X
9781424477456
ISSN:0191-2216
DOI:10.1109/CDC.2010.5717739