Nonlinear system control with fuzzy logic design

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
PublisherIEEE
Pages1592-1597
Volume3
Publication statusPublished - 1994
Externally publishedYes

Publication series

Name
Volume3

Conference

TitleProceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3)
CityOrlando, FL, USA
Period26 - 29 June 1994

Abstract

In this paper, we present a new control design method for nonlinear systems. In this method a set of control laws will be designed based on the linear models about some points of state space of nonlinear systems. The controller output will be the result of applying fuzzy logic theory to manipulate the given set of control laws. By this approach, we ensure the good performance as expected when the state space trajectory is around or about the points where linear models are based to find the control laws and the reasonable performance in other regions. This method can be applied to the nonlinear systems which is not feedback linearisation applicable. Some simulation results of a 4th order nonlinear system, ball and beam system, are presented to demonstrate the feasibility of this method.

Citation Format(s)

Nonlinear system control with fuzzy logic design. / Chak, Chu Kwong; Feng, Gang.
IEEE International Conference on Fuzzy Systems. Vol. 3 IEEE, 1994. p. 1592-1597.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review