DocumentCode
1730127
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
Volume
2
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
1671
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location
Phoenix, AZ
ISSN
0191-2216
Print_ISBN
0-7803-5250-5
Type
conf
DOI
10.1109/CDC.1999.830264
Filename
830264
Link To Document