Martin Brown, Chris Harris – Neurofuzzy Adaptative Modelling and Control

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Author:Martin Brown, Chris Harris

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Neurofuzzy Adaptative Modelling and Control

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The drive for autonomy in manufacturing is making increasing demands on control systems, both for improved performance and extra flexibility. Traditional control systems generally make infeasible assumptions which limit their application, therefore current research has concentrated on intelligent control techniques in order to make systems flexible and robust. This book provides a unified description of several adaptive neural and fuzzy networks and introduces the associate memory class of systems, which describe the similarities and differences existing between fuzzy and neural algorithms.
Describes several adaptive neural and fuzzy networks and introduces the associate memory class of systems.
Abstract
The paper presents a direct adaptive fuzzy approach for parameter identification and control of unknown nonlinear systems. To guaranty high accuracy the model is adapted online using system input and output data.

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