Model based control using fuzzy relational models

B. A. Gormandy, B. E. Postlethwaite

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

2 Citations (Scopus)

Abstract

The development of fuzzy internal model control (FIMC) is analogous to that of linear IMC. At the core of the FIMC is the novel crisp consequent fuzzy relational model (ccFRM). In this paper, we compare the behaviour of FIMC to IMC on a variety of linear systems. The comparison shows that, although FIMC behaves well when used with SISO systems, it suffers severe difficulties in dealing with MIMO systems with dead-times. A possible solution to this, again from analogy with linear IMC, is to approximate the model inverse with a model predictive controller.
Original languageEnglish
Title of host publication10th IEEE International Conference on Fuzzy Systems, 2001
PublisherIEEE
Pages1581-1584
Number of pages4
Volume3
ISBN (Print)078037293X
DOIs
Publication statusPublished - Dec 2001
Event10th IEEE International Conference on Fuzzy Systems - Melbourne, United Kingdom
Duration: 2 Dec 20015 Dec 2001

Conference

Conference10th IEEE International Conference on Fuzzy Systems
CountryUnited Kingdom
CityMelbourne
Period2/12/015/12/01

Keywords

  • MIMO systems
  • SISO systems
  • crisp consequent fuzzy relational model
  • fuzzy internal model control
  • linear systems
  • model based control
  • model predictive controller

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  • Cite this

    Gormandy, B. A., & Postlethwaite, B. E. (2001). Model based control using fuzzy relational models. In 10th IEEE International Conference on Fuzzy Systems, 2001 (Vol. 3, pp. 1581-1584). IEEE. https://doi.org/10.1109/FUZZ.2001.1008966