Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1434
Title: Control of nonlinear systems with a linear state-feedback controller and a modified neural network tuned by genetic algorithm
Authors: Lam, H. K.
Ling, S. H.
Iu, Herbert Ho-ching
Yeung, C. W.
Leung, Frank H. F.
Subjects: Feedback control
Genetic algorithms
Neural networks
Parameter estimation
Issue Date: 2007
Publisher: IEEE
Source: CEC 2007 : IEEE Congress on Evolutionary Computation, Singapore, 25–28 September 2007, p. 1614-1619.
Abstract: This paper presents the control of nonlinear systems with a neural network. In the proposed neural network, the neuron has two activation functions and exhibits a node-to-node relationship in the hidden layer. By using a genetic algorithm with arithmetic crossover and non-uniform mutation, the parameters of the proposed neural network can be tuned. Application examples are given to illustrate the merits of the proposed neural network.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1434
ISBN: 1-4244-1340-0
Appears in Collections:EIE Conference Papers & Presentations

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