Self-organizing multi-model based identification: application to nonlinear dynamic systems' behavior prediction

• Autorzy: Thiaw L. , Madani K.
• Języki publikacji: EN

Abstrakty

EN

Recently, multiple works proposed multi-model based approaches to model nonlinear systems. Such approaches could also be seen as some specific approach, inspired from Artificial Neural Network's operation mode, where each neuron, represented by one of the local models, realizes some higher level transfer function. We are involved in nonlinear dynamic systems identification and behavior prediction, which are key steps in several areas of industrial applications. In this paper, two multi-model based identifiers architectures with self-organization capability are presented, in the frame of nonlinear system's, behavior prediction context. Experimental results validating presented multi-model based structures have been reported and discussed.

Słowa kluczowe

EN

multi-model structure; self-organization; identification; nonlinear system; behavior prediction

PL

samoorganizowanie się; identyfikacja; układ nieliniowy

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2005
• Tom: Vol. 10, no 2
• Strony: 63--74
• Opis fizyczny: Bibliogr. 15 poz,, rys., wykr.

Twórcy

autor

Thiaw L.

• Image, Signal & Intelligent Systems Laboratory (LISSI / EA 3956), PARIS XII University, Senart Institute of Technology, Bat.A, Av. Pierre Point, F-7712 7 Lieusaint, France

autor

Madani K.

• Image, Signal & Intelligent Systems Laboratory (LISSI / EA 3956), PARIS XII University, Senart Institute of Technology, Bat.A, Av. Pierre Point, F-7712 7 Lieusaint, France

Bibliografia

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