Genetic algorithm based structure identification for feedback control of nonlinear MIMO systems

Authors:
Kristina Vassiljeva;Juri Belikov;Eduard Petlenkov
Affiliations:
Department of Computer Control, Tallinn University of Technology, Tallinn, Estonia;Institute of Cybernetics, Tallinn University of Technology, Tallinn, Estonia;Department of Computer Control, Tallinn University of Technology, Tallinn, Estonia
Venue:
ICAIS'11 Proceedings of the Second international conference on Adaptive and intelligent systems
Year:
2011

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Abstract

Choice of the architecture of the neural network makes it possible to find its optimal structure for the control of nonlinear multi-input multi-output (MIMO) systems using the linearization feedback.Genetic algorithm is proposed as the optimization method for finding the appropriate structure. The controller is based on the parameters of the obtained neural network. The error based criterion is applied as evaluation function for model identification procedure.