NONLINEAR SYSTEM IDENTIFICATION AND PREDICTIVE CONTROL USING ORTHONORMAL BASIS FUNCTION (OBF)-NEURAL NETWORKS MODEL

NONLINEAR SYSTEM IDENTIFICATION AND PREDICTIVE CONTROL USING ORTHONORMAL BASIS FUNCTION (OBF)-NEURAL NETWORKS MODEL

Nonlinear empirical models in general, and neural networks models in particular, are normally developed using data from limited region of experimentation. In practice, time and cost are the two main factors that restrict the complete coverage of the whole input space. As a result, these models te...

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Bibliographic Details
Main Author: ZABIRI, HASLINDA
Format: Thesis
Language:English
Published: 2013
Subjects:
TP Chemical technology
Online Access:http://utpedia.utp.edu.my/22470/1/2013%20-CHEMICAL%20-%20NONLINEAR%20SYSTEM%20IDENTIFICATION%20AND%20PREDICTIVE%20CONTROL%20USING%20ORTHONORMAL%20BASIS%20FUNCTION%20%28OBF%29-NEURAL%20NETWORKS%20MODEL%20-%20HASLINDA%20ZABIRI.pdf
http://utpedia.utp.edu.my/22470/
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Institution: Universiti Teknologi Petronas
Language: English

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http://utpedia.utp.edu.my/22470/1/2013%20-CHEMICAL%20-%20NONLINEAR%20SYSTEM%20IDENTIFICATION%20AND%20PREDICTIVE%20CONTROL%20USING%20ORTHONORMAL%20BASIS%20FUNCTION%20%28OBF%29-NEURAL%20NETWORKS%20MODEL%20-%20HASLINDA%20ZABIRI.pdf
http://utpedia.utp.edu.my/22470/

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