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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Dias, F. M., Antunes, A., Vieira, J., & Mota, A. M. (2005). Using the Levenberg-Marquardt for on-line training of a variant system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3697 LNCS, pp. 359–364). https://doi.org/10.1007/11550907_57
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