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

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.Department of Electronic and Information EngineeringAuthor name used in this publication: H. H. C. IuAuthor name used in this publication: F. H. F. LeungCentre for Signal Processing, Department of Electronic and Information EngineeringRefereed conference pape

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

Author name used in this publication: H. H. C. IuAuthor name used in this publication: F. H. F. LeungCentre for Signal Processing, Department of Electronic and Information EngineeringRefereed conference paper2007-2008 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe