A MIMO fuzzy model-based controller

B. Postlethwaite, C. Edgar

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


Fuzzy model-based controllers offer a means of controlling non-linear MIMO systems. The main problem with implementing these systems is that the normal model formulations become increasingly difficult to invert as the number of controlled outputs increase. A new fuzzy model formulation is presented in this paper which avoids this problem. Details are also given of a new identification scheme which allows a priori information about the system to be taken into account. A new MIMO controller algorithm is presented which calculates the required control actions by analytically inverting a MIMO fuzzy model at each sample interval. Finally, some simulation results showing the simultaneous control of pH and level using inlet base and acid flows are given as a demonstration. The simulation results show that the new model structure, identification method, and controller are capable of producing excellent results in the multi-variable control of a highly non-linear, interactive, process.

Original languageEnglish
Pages (from-to)557-564
Number of pages8
JournalChemical Engineering Research and Design
Issue number4
Publication statusPublished - 1 May 2000


  • fuzzy control
  • fuzzy modelling
  • model-based control
  • pH control


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