On-line learning of a time variant system

  • Authors:

  • Fernando Morgado Dias;Ana Antunes;José Vieira;Alexandre Manuel Mota

  • Affiliations:

  • Departamento de Engenharia Electrotécnica, Campus do IPS, Estefanilha, Escola Superior de Tecnologia de Setúbal do Instituto Politécnico de Setúbal, Setúbal, Portugal;Departamento de Engenharia Electrotécnica, Campus do IPS, Estefanilha, Escola Superior de Tecnologia de Setúbal do Instituto Politécnico de Setúbal, Setúbal, Portugal;Departamento de Engenharia Electrotécnica, Escola Superior de Tecnologia de Castelo Branco, Castelo Branco, Portugal;Departamento de Electrónica e Telecomunicações, Universidade de Aveiro, Aveiro, Portugal

  • Venue:
  • IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
  • Year:
  • 2006

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Abstract

In the present work a sliding window approach for the Levenberg-Marquardt algorithm is used for on-line modelling a time variant system. The system used is a first order cruise control in which a modification is introduced to change the system gain at some point of operation. The initial control of the cruise control is performed by a PI not particularly optimised but enough to keep the system working within the intended range, which is then replaced by an Artificial Neural Network as soon as it is trained, using an Internal Model Controller loop.