Fuzzy modeling via sector nonlinearity concept

Article type: Research Article

Authors: Ohtake, Hiroshi^a | Tanaka, Kazuo^{a; *} | Wang, Hua O.^b

Affiliations: [a] Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan | [b] Department of Aerospace and Mechanical Engineering, Boston University, 110 Cummington Street, Boston, MA 02215, USA

Correspondence: [*] Corresponding author: Tel. & Fax: +81 424 43 5425; E-mail: [email protected].

Abstract: This paper presents a new fuzzy modeling technique via the so-called sector nonlinearity concept. To fully take advantage of the sector nonlinearity concept, we propose a new type of Takagi-Sugeno fuzzy model and develop an algorithm to identify model parameters. The algorithm consists of two steps. The purpose of the first step is to determine sector coefficients from input-output data. The second part identifies membership functions from the determined sector coefficients and the input-output data. Identification examples illustrate the utility of this approach.

DOI: 10.3233/ICA-2003-10404

Journal: Integrated Computer-Aided Engineering, vol. 10, no. 4, pp. 333-341, 2003