Experimental investigations of a direct adaptive neurofuzzy controller

The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive and robust control. In this paper, discrete direct adaptive control of unknown non-l...

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Bibliographic Details
Main Authors: Nyarko, E.K., Peric, N., Petrovic, I.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive control
Adaptive systems
Control systems
Control theory
Fuzzy control
Fuzzy neural networks
Nonlinear control systems
Programmable control
Robust control
Uncertainty
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Summary:The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive and robust control. In this paper, discrete direct adaptive control of unknown non-linear SISO systems is considered. The controller is implemented using a fuzzy neural network. The control concept is tested on a laboratory pilot plant and compared to a standard discrete PID Takahashi controller
ISSN:1085-1992
2576-3210
DOI:10.1109/CCA.2005.1507269