Fuzzy Model Identification With Enhanced Validity Criterion for Mechanical System Design

文化大學機構典藏 CCUR > 理工學院 > 工學院 > 機械工程系暨機械工程學系數位機電研究所 > 期刊論文 > Item 987654321/22934

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题名:	Fuzzy Model Identification With Enhanced Validity Criterion for Mechanical System Design
作者:	Su, Kuo-Ho
贡献者:	機械工程學系
关键词:	HYBRID ALGORITHM
日期:	2011-10
上传时间:	2012-09-06 15:40:28 (UTC+8)
摘要:	Model identification for machine system design, design optimization, and manufacturing planning is an important method that has high prediction accuracy and could become an essential stage in practical applications. In this paper, an effective fuzzy model identification algorithm for mechanical system design is developed. First, a fuzzy c-regression model clustering algorithm, in which hyperplane-shaped cluster representatives are utilized to provide a mathematical tool to partition the input-output space reasonably, is introduced. Then, an enhanced cluster validity criterion, in which the structural information hidden in the clusters can be reflected in the index, is proposed to choose the optimal number of clusters. In the proposed architecture, an improved Takagi-Sugeno fuzzy model is proposed to describe the system. Two illustrative examples under various conditions are provided, and their performances are indicated in comparison with other published works. In comparison to these fuzzy works, the proposed fuzzy model identification requires fewer fuzzy rules and a shorter tuning time. [DOI: 10.1115/1.4004483]
關聯:	JOURNAL OF MECHANICAL DESIGN Volume: 133 Issue: 10 Article Number: 104501
显示于类别:	[機械工程系暨機械工程學系數位機電研究所] 期刊論文

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