Using the Levenberg-marquardt for on-line training of a variant system

Authors:
Fernando Morgado Dias;Ana Antunes;José Vieira;Alexandre Manuel Mota
Affiliations:
Escola Superior de Tecnologia de Setúbal do Instituto Politécnico de Setúbal, Departamento de Engenharia Electrotécnica, Setúbal, Portugal;Escola Superior de Tecnologia de Setúbal do Instituto Politécnico de Setúbal, Departamento de Engenharia Electrotécnica, Setúbal, Portugal;Escola Superior de Tecnologia de Castelo Branco, Departamento de Engenharia Electrotécnica, Castelo Branco, Portugal;Departamento de Electrónica e Telecomunicações, Universidade de Aveiro, Aveiro Portugal
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Year:
2005

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Abstract

This paper presents an application of the Levenberg-Marquardt algorithm to on-line modelling of a variant system. Because there is no iterative version of the Levenberg-Marquardt algorithm, a batch version is used with a double sliding window and Early Stopping to produce models of a system whose poles change during operation. The models are used in a Internal Model Controller to control the system which is held functioning in the initial phase by a PI controller.