DocumentCode :
2290480
Title :
Self-organizing approximation based control
Author :
Farrell, J.A. ; Zhao, Y.
Author_Institution :
Dept. of Electr. Eng., California Univ., Riverside, CA
fYear :
2006
fDate :
14-16 June 2006
Abstract :
Adaptive approximation based control typically uses approximators with a predefined set of basis functions. Recent methods, spatially dependent methods, have defined self-organizing approximators where new locally supported basis elements were incorporated when existing basis elements were insufficiently excited. In this article, performance dependent self-organizing approximators will be defined. The designer specifies positive tracking error criteria. The self-organizing approximation based controller then monitors the tracking performance and adds basis elements only as needed to achieve the tracking specification. The paper includes a complete stability analysis
Keywords :
adaptive control; nonlinear control systems; stability; adaptive approximation based control; adaptive nonlinear control; locally weighted learning; self-organizing approximation based control; stability analysis; tracking specification; Adaptive control; Approximation algorithms; Approximation error; Automatic control; Bandwidth; Control systems; Function approximation; Programmable control; Stability analysis; Weight control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
Type :
conf
DOI :
10.1109/ACC.2006.1657240
Filename :
1657240
Link To Document :
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