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Fuzzy network model-based fuzzy state controller design

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3 Author(s)
A. Kroll ; ABB Corp. Res. Centre, Heidelberg, Germany ; T. Bernd ; S. Trott

The performance of model-based controller design relies heavily on the quality and suitability of the utilized process model. This contribution proposes a fuzzy network based nonlinear controller design methodology. Fuzzy networks are a model approach combining high approximation quality with high interpretability. The input/output (I/O) models commonly used for identification are transformed to fuzzy state-space models. Transferring and adjusting methods from linear state-space theory a control concept consisting of a fuzzy state controller and an adaptive set-point filter for nonlinear dynamic processes is deduced. The capability of the method is demonstrated for a hydraulic drive

Published in:

IEEE Transactions on Fuzzy Systems  (Volume:8 ,  Issue: 5 )