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Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 52-666
Full Name: jihang zhu
Position: Student
Age: ON
Sex: Male
Address: 15 BeiSanhuan East Road, ChaoYang District, Beijing
Country: CHINA
Tel: +86-010-64434797
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E-mail address: zhujihang0226@126.com
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Title of the Paper: subtractive fuzzy c-means clustering approach with applications to fuzzy predictive control
Authors as they appear in the Paper: Hongguang Li,Jihang Zhu
Email addresses of all the authors: lihg@mail.buct.edu.cn,zhujihang0226@126.com
Number of paper pages: 10
Abstract: Abstract£º- To identify T-S models, this paper presents a so-called ¡°subtractive fuzzy C-means clustering¡± approach, in which the results of subtractive clustering are applied to initialize clustering centers and the number of rules in order to perform adaptive clustering. This method not only regulates the division of fuzzy inference system input and output space and determines the relative member function parameters, but also overcomes the impacts of initial values on clustering performance. Additionally, the orthogonal least square algorithm is employed to identify the parameters of consequents and linearize the systems over every sample time, ultimately resulting in the entire T-S fuzzy models. With this approach available, a fuzzy model predictive control system is established, along with corresponding control algorithms derived, as well as control system simulations carried out which explicitly demonstrate the effectiveness of the proposed method.
Keywords: T-S mode identification; subtractive clustering; fuzzy C-means clustering; Generalized Predictive Control
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