Fuzzy-Neural Models for Real-Time Identification and Control of a Mechanical System

Authors:
Ieroham S. Baruch;Jose Martín Flores;Juan Carlos Martínez;Boyka Nenkova
Affiliations:
-;-;-;-
Venue:
AIMSA '00 Proceedings of the 9th International Conference on Artificial Intelligence: Methodology, Systems, and Applications
Year:
2000

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Abstract

A two-layer Recurrent Neural Network Model (RNNM) and an improved Backpropagation-through-time method of its learning are described. For a complex nonlinear plants identification, a fuzzy-neural multi-model, is proposed. The proposed fuzzy-neural model, containing two RNNMs is applied for real-time identification of nonlinear mechanical system. The simulation and experimental results confirm the RNNM applicability.