Multivariable state feedback for output tracking MRAC for piecewise linear systems

Author

Sang, Qian ; Tao, Gang

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Virginia, Charlottesville, VA, USA

fYear

2011

fDate

12-15 Dec. 2011

Firstpage

1784

Lastpage

1789

Abstract

This paper studies the adaptive control problem of multi-input, multi-output (MIMO) piecewise linear systems, a class of linear systems with switched parameters. A direct state feedback model reference adaptive control (MRAC) scheme is developed based on the LDS decomposition of high frequency gain matrices of such systems to achieve closed-loop signal boundedness and asymptotic output tracking performance. Simulation results on linearized NASA GTM models are presented to demonstrate the effectiveness of the proposed scheme.

Keywords

MIMO systems; adaptive control; closed loop systems; control system synthesis; linear systems; linearisation techniques; matrix algebra; piecewise linear techniques; stability; state feedback; LDS decomposition; MIMO system; MRAC scheme; asymptotic output tracking; closed-loop signal boundedness; frequency gain matrix; linearized NASA GTM model; model reference adaptive control; multiinput multioutput system; multivariable state feedback; output tracking MRAC; piecewise linear systems; switched parameter; Adaptation models; Adaptive control; Asymptotic stability; Linear systems; Stability analysis; State feedback; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on

Conference_Location

Orlando, FL

ISSN

0743-1546

Print_ISBN

978-1-61284-800-6

Electronic_ISBN

0743-1546

Type

conf

DOI

10.1109/CDC.2011.6161366

Filename

6161366