title: Design and analysis of region-wise linear fuzzy controllers.
abstract: In this paper, a methodology to reduce the complexity of a robust controller based on fuzzy if-then rules is proposed. The motivation and the design of this complexity-reduced fuzzy controller are presented. This fuzzy controller with the triangular membership functions and fuzzy partition methods used here leads to a region-wise linear fuzzy controller (RLFC). The properties of the region-wise linear fuzzy controllers are discussed and the reasons why they in general perform better than the PD controllers are also provided. And the simulation results based on a second order plant are included to show that the region-wise linear fuzzy controller outperforms the PD controller. We also show that the region-wise linear fuzzy controller and original fuzzy controller have similar performances.
authors.affiliation: Dept. of Electr. Eng., Nat. Chung-Hsing Univ., Taichung.
authors.forename: J S
authors.initials: JS
authors.lastname: Taur
authors.forename: C W
authors.initials: CW
authors.lastname: Tao