Model Reduction of Fuzzy Logic Systems

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ID: 92294
2014
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Abstract
This paper deals with the problem of ā„’2-ā„’āˆž model reduction for continuous-time nonlinear uncertain systems. The approach of the construction of a reduced-order model is presented for high-order nonlinear uncertain systems described by the T-S fuzzy systems, which not only approximates the original high-order system well with an ā„’2-ā„’āˆž error performance level Ī³ but also translates it into a linear lower-dimensional system. Then, the model approximation is converted into a convex optimization problem by using a linearization procedure. Finally, a numerical example is presented to show the effectiveness of the proposed method.
Reference Key
yu2014modelmathematical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yu, Zhandong;Yu, Jinyong;Karimi, Hamid Reza;
Journal mathematical problems in engineering
Year 2014
DOI DOI not found
URL
http://dx.doi.org/10.1155/2014/874530
Keywords
chemistry Biology (General) Chemical technology Engineering (General). Civil engineering (General) Technology Mechanical engineering and machinery physics neurology. diseases of the nervous system mathematics electronic computers. computer science mining engineering. metallurgy

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