Predictive control by local linearization of a Takagi-Sugeno fuzzy model

J. A. Roubos, R. Babuska, P. M. Bruijn, H. B. Verbruggen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)

Abstract

Linear model based predictive control (MBPC) has many advantages but also drawbacks over nonlinear MBPC. In this paper a possibility of using linear MBPC to control nonlinear systems is investigated. Takagi-Sugeno fuzzy models are chosen as the model structure. Local linear models can be derived from the linear rule consequents in a straightforward way. For each sample time a local linear model is calculated and used to calculate the next incremental control action using linear MBPC. This receding horizon controller is used in the IMC scheme to correct for model mismatch. Two simulation examples are given: A SISO liquid level process and a MIMO liquid level process with two inputs and four outputs.

Original languageEnglish
Title of host publication1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages37-42
Number of pages6
ISBN (Print)078034863X, 9780780348639
DOIs
Publication statusPublished - Jan 1 1998
Event1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998 - Anchorage, United States
Duration: May 4 1998May 9 1998

Publication series

Name1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence
Volume1

Conference

Conference1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998
CountryUnited States
CityAnchorage
Period5/4/985/9/98

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ASJC Scopus subject areas

  • Logic
  • Control and Optimization
  • Modelling and Simulation
  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality

Cite this

Roubos, J. A., Babuska, R., Bruijn, P. M., & Verbruggen, H. B. (1998). Predictive control by local linearization of a Takagi-Sugeno fuzzy model. In 1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence (pp. 37-42). [687455] (1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZY.1998.687455