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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| Format: | Thesis |
| Language: | English |
| Published: |
2013
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| 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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