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JACIII Vol.22 No.2 pp. 194-202
doi: 10.20965/jaciii.2018.p0194
(2018)

Paper:

A Design of Observers of Control State and Uncertainty via Transformation of T-S Fuzzy Models

Hugang Han*, Yuki Sueyama*, and Chun-Jun Chen**

*Department of Management and Information Systems, Prefectural University of Hiroshima
1-1-71 Ujina-Higashi, Minami-ku, Hiroshima 734-8558, Japan

**Mechanical Engineering College, Southwest Jiaotong University
No.111, North Section 1, Erhuan Road Chengdu, Sichuan 610031, China

Received:
August 22, 2017
Accepted:
December 13, 2017
Published:
March 20, 2018
Keywords:
T-S fuzzy model, uncertainty, state observer, uncertainty observer, matrix transformation
Abstract

When employing the widely used T-S fuzzy model as a model to represent a system concerned with controller designs, it is necessary to consider the precision of the model from the point of view of control performance. Adding a term called uncertainty in the T-S fuzzy model to compensate for the difference between the concerned system and its T-S fuzzy model, this paper focuses on a design of observers for both the control state and uncertainty. Unlike a state observer in the traditional sense, which is usually designed as a whole, the state is divided into two parts by performing a unique matrix transformation; and two observers from the two divided parts of the state are designed separately in order to eliminate the influence of the uncertainty. Finally, an observer of the aforementioned uncertainty based on one of the state observers is suggested.

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Cite this article as:
Hugang Han, Yuki Sueyama, and Chun-Jun Chen, “A Design of Observers of Control State and Uncertainty via Transformation of T-S Fuzzy Models,” J. Adv. Comput. Intell. Intell. Inform., Vol.22, No.2, pp. 194-202, 2018
Hugang Han, Yuki Sueyama, and Chun-Jun Chen, J. Adv. Comput. Intell. Intell. Inform., Vol.22, No.2, pp. 194-202, 2018

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Last updated on Jun. 22, 2018