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.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11550907_163 .
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Dias, F.M., Antunes, A., Vieira, J., Mota, A.M. (2005). Using the Levenberg-Marquardt for On-line Training of a Variant System. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550907_57
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DOI: https://doi.org/10.1007/11550907_57
Publisher Name: Springer, Berlin, Heidelberg
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