Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network
A nonlinear model-predictive control (NMPC) is demonstrated for nonlinear systems using an improved fuzzy switching law. The proposed moving average filter fuzzy switching law (MAFFSL) is composed of a quasi-ARX radial basis function neural network (RBFNN) prediction model and a fuzzy switching law....
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
IEEE
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/41489/ |
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