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Title: Adaptive identification and control of nonlinear systems using generalized fuzzy neural network
Authors: Gao, Yang.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Issue Date: 2003
Abstract: 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 greatly adopted in modeling and control.
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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