Feedback linearization using TSK fuzzy approximants

Author

Olivier, Philip D.

Author_Institution

Dept. of Electr. & Comput. Eng., Mercer Univ., Macon, GA, USA

fYear

2005

fDate

20-22 March 2005

Firstpage

92

Lastpage

97

Abstract

This paper considers implementing the Takagi-Sugeno-Kang fuzzy models of control laws produced by feedback linearization. There are two main results: first, that TSK fuzzy models of feedback linearization control laws can be virtually as good as the exact nonlinear control law, at least in the case of the inverted pendulum problem. Second, the exact control law for the inverted pendulum problem is observed to be very flat near the desired operating point. This observation is consistent with the success of control laws based on local linearized models.

Keywords

feedback; fuzzy control; linearisation techniques; nonlinear control systems; pendulums; TSK fuzzy approximants; Takagi-Sugeno-Kang fuzzy model; feedback linearization; inverted pendulum; nonlinear control law; Computational complexity; Design methodology; Feedback control; Fuzzy control; Fuzzy logic; Linear feedback control systems; Nonlinear control systems; Nonlinear systems; Process design; Takagi-Sugeno-Kang model;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 2005. SSST '05. Proceedings of the Thirty-Seventh Southeastern Symposium on

ISSN

0094-2898

Print_ISBN

0-7803-8808-9

Type

conf

DOI

10.1109/SSST.2005.1460884

Filename

1460884