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.

Describes several adaptive neural and fuzzy networks and introduces the associate memory class of systems. The Albus CMAC, the B-spline network and a class of fuzzy systems are described and analyzed.
The paper presents a direct adaptive fuzzy approach for parameter identification and control of unknown nonlinear systems.

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