Takagi-Sugeno fuzzy models within orthonormal basis function framework and their application to process control

Campello, R.J.G.B., and Amaral, W.C. (2002) Takagi-Sugeno fuzzy models within orthonormal basis function framework and their application to process control. In: Proceedings of the 2002 IEEE International Conference on Fuzzy Systems. pp. 1399-1404. From: 2002 IEEE International Conference on Fuzzy Systems, 12-17 May 2002, Honolulu, HI, USA.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1109/FUZZ.2002.1006...
 
5
2


Abstract

Fuzzy models within orthonormal basis function framework (OBF Fuzzy Models) have been introduced in previous works and shown to be a very promising approach to the areas of non-linear system identification and control since they exhibit several advantages over those dynamic model topologies usually adopted in the literature. In the present paper, it is demonstrated that the OBF Takagi-Sugeno fuzzy models previously introduced by the authors are particular realizations of a more general and interpretable formulation presented here, while being able to approximate to desired accuracy a wide class of non-linear dynamic systems. In addition, a predictive control scheme based on the linearization of these models is applied to the control of a polymerization reactor.

Item ID: 47627
Item Type: Conference Item (Research - E1)
ISBN: 978-0-7803-7280-1
Funders: FAPESP, CNPq
Projects and Grants: FAPESP #99/03902-6, CNPq #301345184
Date Deposited: 08 Mar 2017 07:40
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%
Downloads: Total: 2
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page