A relational approach for complex system identification

Campello, Ricardo José G.B., and Amaral, Wagner C. (1999) A relational approach for complex system identification. Controle & Automação, 10 (3). pp. 139-148.

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In this paper the issue of complex system identification with the aid of fuzzy logic techniques is addressed. Models based on fuzzy relational equations, i.e. fuzzy relational models, are presented. Two numerical methods to estimate the parameters of such models are proposed. The first one is an optimization based methodology using sequential procedures of quadratic programming to refine models previously estimated by other methods. From this methodology, a recursive algorithm suitable for on-line identification is derived. The performance of the methods proposed is evaluated by modeling a real dynamic process.

Item ID: 47954
Item Type: Article (Research - C1)
ISSN: 0103-1759
Keywords: fuzzy modeling, optimization, non-linear systems
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Date Deposited: 29 Mar 2017 01:49
FoR Codes: 01 MATHEMATICAL SCIENCES > 0102 Applied Mathematics > 010299 Applied Mathematics not elsewhere classified @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970101 Expanding Knowledge in the Mathematical Sciences @ 100%
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