Design and Stability Analysis of Fuzzy Model-based Predictive Control – A Case Study |
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Authors: | Sa?o Bla?i? Igor ?krjanc |
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Affiliation: | (1) Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, Ljubljana, 1000, Slovenia |
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Abstract: | In the paper a fuzzy model based predictive control algorithm is presented. The proposed algorithm is developed in the state
space and is given in analytical form, which is an advantage in comparison with optimisation based control schemes. Fuzzy
model-based predictive control is potentially interesting in the case of batch reactors, heat-exchangers, furnaces and all
the processes with strong nonlinear dynamics and high transport delays. In our case it is implemented to a continuous stirred-tank
simulated reactor and compared to optimal PI control. Some stability and design issues of fuzzy model-based predictive control
are also given. |
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Keywords: | fuzzy identification predictive control stability |
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