Visualization of dynamics using local dynamic modelling with self organizing maps

Authors:
Ignacio Díaz-Blanco;Abel A. Cuadrado-Vega;Alberto B. Diez-González;Juan J. Fuertes-Martínez;Manuel Domínguez-González;Perfecto Reguera-Acevedo
Affiliations:
University of Oviedo, Area de Ingeniería de Sistemas y Automática, Gijón, Asturias, Spain;University of Oviedo, Area de Ingeniería de Sistemas y Automática, Gijón, Asturias, Spain;University of Oviedo, Area de Ingeniería de Sistemas y Automática, Gijón, Asturias, Spain;Instituto de Automática y Fabricación, Universidad de León, Escuela de Ingenierías, León, Spain;Instituto de Automática y Fabricación, Universidad de León, Escuela de Ingenierías, León, Spain;Instituto de Automática y Fabricación, Universidad de León, Escuela de Ingenierías, León, Spain
Venue:
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Year:
2007

Citing 4
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Abstract

In this work, we describe a procedure to visualize nonlinear process dynamics using a self-organizing map based local model dynamical estimator. The proposed method exploits the topology preserving nature of the resulting estimator to extract visualizations (planes) of insightful dynamical features, that allow to explore nonlinear systems whose behavior changes with the operating point. Since the visualizations are obtained from a dynamical model of the process, measures on the goodness of this estimator (such as RMSE or AIC) are also applicable as a measure of the trustfulness of the visualizations. To illustrate the application of the proposed method, an experiment to analyze the dynamics of a nonlinear system on different operating points is included.