DocumentCode :
2794201
Title :
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
Link To Document :
بازگشت