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Design and Stability Analysis of Fuzzy Model-based Predictive Control – A Case Study

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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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  1. Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, Ljubljana, 1000, Slovenia

    Sašo Blažič & Igor Škrjanc

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  1. Sašo Blažič
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  2. Igor Škrjanc
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Correspondence to Sašo Blažič.

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Blažič, S., Škrjanc, I. Design and Stability Analysis of Fuzzy Model-based Predictive Control – A Case Study. J Intell Robot Syst 49, 279–292 (2007). https://doi.org/10.1007/s10846-007-9147-8

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  • DOI: https://doi.org/10.1007/s10846-007-9147-8

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