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Journal of Intelligent and Robotic Systems

, Volume 49, Issue 3, pp 279–292 | Cite as

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

  • Sašo BlažičEmail author
  • Igor Škrjanc
Article

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.

Keywords

fuzzy identification predictive control stability 

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Copyright information

© Springer Science+Business Media, Inc. 2007

Authors and Affiliations

  1. 1.Faculty of Electrical EngineeringUniversity of LjubljanaLjubljanaSlovenia

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