Design of a Switching Controller for Nonlinear Systems With Unknown Parameters Based on a Fuzzy Logic Approach

H. K. Lam; Hung Fat Frank Leung; Y. S. Lee

doi:10.1109/TSMCB.2003.820596

Design of a Switching Controller for Nonlinear Systems With Unknown Parameters Based on a Fuzzy Logic Approach

H. K. Lam, Hung Fat Frank Leung, Y. S. Lee

Research output: Journal article publication › Journal article › Academic research › peer-review

38 Citations (Scopus)

Abstract

This paper deals with nonlinear plants subject to unknown parameters. A fuzzy model is first used to represent the plant. An equivalent switching plant model is then derived, which supports the design of a switching controller. It will be shown that the closed-loop system formed by the plant and the switching controller is a linear system. Hence, the system performance of the closed-loop system can be designed. An application example on controlling a two-inverted pendulum system on a cart will be given to illustrate the design procedure of the proposed switching controller.

Original language	English
Pages (from-to)	1068-1074
Number of pages	7
Journal	IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume	34
Issue number	2
DOIs	https://doi.org/10.1109/TSMCB.2003.820596
Publication status	Published - 1 Apr 2004

Keywords

Nonlinear systems
Switching controller
Switching plant model
Takagi-Sugeno-Kang (TSK) fuzzy plant model

ASJC Scopus subject areas

Control and Systems Engineering
Artificial Intelligence
Human-Computer Interaction

More information

10.1109/TSMCB.2003.820596

Cite this

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Design of a Switching Controller for Nonlinear Systems With Unknown Parameters Based on a Fuzzy Logic Approach. / Lam, H. K.; Leung, Hung Fat Frank; Lee, Y. S.

In: IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 34, No. 2, 01.04.2004, p. 1068-1074.

Research output: Journal article publication › Journal article › Academic research › peer-review

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Design of a Switching Controller for Nonlinear Systems With Unknown Parameters Based on a Fuzzy Logic Approach

Abstract

Keywords

ASJC Scopus subject areas

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