Title :
Nonlinear adaptive control using networks of piecewise linear approximators
Author :
Choi, Jin Young ; Farrell, Jay
Author_Institution :
Dept. of Electr. Eng., Seoul Nat. Univ., South Korea
fDate :
6/21/1905 12:00:00 AM
Abstract :
This paper presents a stable nonparametric adaptive control approach using a piecewise local linear approximator. The basic structure of the controller is based on the feedback linearizing control plus sliding control structure to ensure the global stability. As for distinctive features, the continuous piecewise linear approximator is newly introduced and a time varying activation region is defined for efficient self-organization of the approximator during operation. The feasibility of the piecewise linear adaptive control method is demonstrated by a computational simulation
Keywords :
adaptive control; feedback; nonlinear control systems; piecewise linear techniques; stability; time-varying systems; computational simulation; controller; feedback linearizing control; global stability; nonlinear adaptive control; piecewise linear approximators; sliding control structure; time varying activation region; Adaptive control; Biological neural networks; Error correction; Linear feedback control systems; Nonlinear control systems; Nonlinear systems; Piecewise linear approximation; Piecewise linear techniques; Sliding mode control; Stability;
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5250-5
DOI :
10.1109/CDC.1999.830264