Fuzzy Model Predictive Control

Techniques, stability issues, and examples

Hazem Nounou, Kevin M. Passino

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

24 Citations (Scopus)

Abstract

Fuzzy Model Predictive Control (FMPC) algorithms presented here are model-based control schemes in which the models used for prediction are Takagi-Sugeno fuzzy systems (TSFS). Three approaches to FMPC design are discussed. The fuzzy model in the first approach can be represented as a time-varying affine model that is used for control. In the second approach, the fuzzy system is a convex combination of multiple affine models, where the control is a convex combination of multiple controllers. Lastly, the control of the third algorithm is obtained when only the model with the highest certainty is used in the design. Also, we extend the idea to have an adaptive controller for the first algorithm, where the parameters of the fuzzy model are updated online.

Original languageEnglish
Title of host publicationIEEE International Symposium on Intelligent Control - Proceedings
PublisherIEEE
Pages423-428
Number of pages6
Publication statusPublished - 1999
Externally publishedYes
EventProceedings of the 1999 IEEE International Symposium on Intelligent Control - Intelligent Systems and Semiotics - Cambridge, MA, USA
Duration: 15 Sep 199917 Sep 1999

Other

OtherProceedings of the 1999 IEEE International Symposium on Intelligent Control - Intelligent Systems and Semiotics
CityCambridge, MA, USA
Period15/9/9917/9/99

Fingerprint

Model predictive control
Fuzzy systems
Controllers

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

Nounou, H., & Passino, K. M. (1999). Fuzzy Model Predictive Control: Techniques, stability issues, and examples. In IEEE International Symposium on Intelligent Control - Proceedings (pp. 423-428). IEEE.

Fuzzy Model Predictive Control : Techniques, stability issues, and examples. / Nounou, Hazem; Passino, Kevin M.

IEEE International Symposium on Intelligent Control - Proceedings. IEEE, 1999. p. 423-428.

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

Nounou, H & Passino, KM 1999, Fuzzy Model Predictive Control: Techniques, stability issues, and examples. in IEEE International Symposium on Intelligent Control - Proceedings. IEEE, pp. 423-428, Proceedings of the 1999 IEEE International Symposium on Intelligent Control - Intelligent Systems and Semiotics, Cambridge, MA, USA, 15/9/99.
Nounou H, Passino KM. Fuzzy Model Predictive Control: Techniques, stability issues, and examples. In IEEE International Symposium on Intelligent Control - Proceedings. IEEE. 1999. p. 423-428
Nounou, Hazem ; Passino, Kevin M. / Fuzzy Model Predictive Control : Techniques, stability issues, and examples. IEEE International Symposium on Intelligent Control - Proceedings. IEEE, 1999. pp. 423-428
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