Adaptive identification and control of nonlinear systems using generalized fuzzy neural network
This thesis proposes a superior adaptive fuzzy neural network identification and control scheme for MIMO nonlinear dynamic systems in general, with a view of dealing with high complexity, uncertainties and imprecision in this class of systems. In literature, fuzzy logic and neural networks have been...
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/4276 |