Evolutionary design of the closed loop control on the basis of NN-ANARX model using genetic algorithm

  • Authors:
  • Kristina Vassiljeva;Eduard Petlenkov;Sven Nomm

  • Affiliations:
  • Department of Computer Control, Tallinn University of Technology, Tallinn, Estonia;Department of Computer Control, Tallinn University of Technology, Tallinn, Estonia;Institute of Cybernetics, Tallinn University of Technology, Tallinn, Estonia

  • Venue:
  • ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
  • Year:
  • 2012

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Abstract

Genetic algorithm is used in the present paper to perform evolutionary design of the closed loop control for the given process. Main distinctive feature of the proposed approach is that arguments of the fitness function describe model, and therefore controller quality, both in the open and closed loops. Namely model validity with cross-correlation functions determined in the open loop and mean square error is measured for the performance in the closed loop with a controller, which equations analytically derived from from the equations of the model.