Mean-square optimal control of Linear Parameter Varying systems
Paper i proceeding, 2013

The problem of designing parameter-dependent output feedback controllers by using inaccurate knowledge of the scheduling parameter is addressed in the paper. Discrete time Linear Parameter Varying (LPV) systems are considered with external scheduling variables corrupted by measurement noise. The paper investigates the optimal control of such LPV class in the quadratic mean-square sense. The solution of the controller design problem is obtained as a standard optimization problem subject to Linear Matrix Inequality (LMI) constraints. A comparative simulation example is given to illustrate the proposed methodology and underline the importance of embedding stochastic information in the LPV control design procedure.

control system synthesis

feedback

optimal control

linear matrix inequalities

scheduling

mean square error methods

Författare

T. Luspay

Balázs Adam Kulcsár

Chalmers, Signaler och system, System- och reglerteknik, Reglerteknik

K. Grigoradis

American Control Conference

0743-1619 (ISSN)

6084 - 6089

Styrkeområden

Transport

Ämneskategorier

Reglerteknik

DOI

10.1109/ACC.2013.6580792

ISBN

978-1-4799-0177-7

Mer information

Skapat

2017-10-08