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Fuzzy segregation based identification and control of nonlinear dynamic systems

DSpace at IIT Bombay

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Field Value
 
Title Fuzzy segregation based identification and control of nonlinear dynamic systems
 
Creator VENKAT, ASWIN N
GUDI, RD
 
Subject distillation
fuzzy control
identification
nonlinear dynamical system
 
Description In this work, we propose a new method to model and control complex nonlinear dynamic systems. The suggested scheme employs an output curve methodology to determine the initial set of dynamic clustering spaces. The choice of the optimal dynamic clustering space is made through an analysis of cross validation performance and other indicative indices. A fuzzy clustering methodology for dynamic model building is proposed. For online control, a smooth internal model-switching strategy based on fuzzy methods is proposed and shown to be superior to other methods hitherto proposed in the literature. Two control structures based on the proposed methodology are discussed. The efficacy of the proposed fuzzy modeling and control schemes are demonstrated through illustrative examples and by application to a high purity distillation process.
 
Publisher IEEE
 
Date 2009-03-05T08:21:42Z
2011-11-28T07:38:04Z
2011-12-15T09:57:07Z
2009-03-05T08:21:42Z
2011-11-28T07:38:04Z
2011-12-15T09:57:07Z
2001
 
Type Article
 
Identifier Proceedings of the American Control Conference (V 5), Arlington, USA, 25-27 June 2001, 3515-3520
0-7803-6495-3
10.1109/ACC.2001.946177
http://hdl.handle.net/10054/861
http://dspace.library.iitb.ac.in/xmlui/handle/10054/861
 
Language en