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
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;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.532108
