DocumentCode
300683
Title
Adaptive feedback linearization using multivariable spline functions
Author
Minhas, Rajinderjeet S. ; Bortoff, Scott A.
Author_Institution
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Volume
5
fYear
1995
fDate
21-23 Jun 1995
Firstpage
3207
Abstract
This paper presents a method to construct an adaptive feedback-linearizing control law using multivariable spline functions. Unlike the majority of results in adaptive control, the plant is not required to be linearly parameterized. Computational complexity issues are discussed in detail. Of particular relevance is the extremely simple form that the regressor assumes. A numerical example illustrates the controller construction and performance
Keywords
adaptive control; computational complexity; control system synthesis; feedback; linearisation techniques; splines (mathematics); adaptive feedback-linearizing control law; computational complexity; multivariable spline functions; regressor; Adaptive control; Computational complexity; Differential equations; Feedback; Mechanical systems; Nonlinear systems; Programmable control; Reluctance motors; Spline; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, Proceedings of the 1995
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2445-5
Type
conf
DOI
10.1109/ACC.1995.532108
Filename
532108
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