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Control of nonlinear systems with a linear state-feedback controller and a modified neural network tuned by genetic algorithm

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5 Author(s)
Lam, H.K. ; King''s Coll. London, London ; Ling, S.H. ; Iu, H.H.C. ; Yeung, C.W.
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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.

Published in:

Evolutionary Computation, 2007. CEC 2007. IEEE Congress on

Date of Conference:

25-28 Sept. 2007