Neuro-fuzzy multi-model control using Sugeno inference and Kohonen tuning in parameter space

A multi-model adaptive control scheme is introduced. It makes use of Kohonen neural structures and Sugeno fuzzy inference in adapting and switching the control action of the multi-model bank respectively. The structure can be easily put in a parametrized gain scheduling framework, practical to engin...

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Bibliographic Details
Main Authors: Tomescu, B., VanLandingham, H.F.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive control
Control systems
Electric variables control
Power electronics
Power system modeling
Radar tracking
State feedback
State-space methods
Tracking loops
Uncertainty
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Description
Summary:A multi-model adaptive control scheme is introduced. It makes use of Kohonen neural structures and Sugeno fuzzy inference in adapting and switching the control action of the multi-model bank respectively. The structure can be easily put in a parametrized gain scheduling framework, practical to engineering situations. A simple example of a tracking filter (radar) has been simulated with good results.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.1997.638083