On model reference adaptive control and dynamic model reduction

Author

Galvez, Jose M. ; Balas, Mark J.

Author_Institution

Dept. of Electr. Eng., Colorado Univ., Boulder, CO, USA

fYear

1990

fDate

5-7 Sep 1990

Firstpage

731

Abstract

The dynamic model reduction and adaptive control (DMRAC) scheme opens a new set of options for the analysis and design of adaptive systems which are usually based on Lyapunov´s method and Popov´s hyperstability approach. Two cases are analyzed: the first is when the dimensions of the plant and the model agree; the second is when the plant dimension is larger than the model dimension. In both cases the constraint of strictly positive realness for the plant is not required to reach a feasible controller. Outstanding regulation and model-tracking performance have been obtained in simulation and verified through analysis

Keywords

large-scale systems; model reference adaptive control systems; stability; adaptive systems; dynamic model reduction; feasible controller; feedforward adaptive systems; flexible large space structures; model reference adaptive control; model-tracking performance; reduced order model; Adaptive control; Adaptive systems; Aerodynamics; Aerospace control; Aerospace engineering; Control systems; Programmable control; Read only memory; Reduced order systems; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on

Conference_Location

Philadelphia, PA

ISSN

2158-9860

Print_ISBN

0-8186-2108-7

Type

conf

DOI

10.1109/ISIC.1990.128538

Filename

128538