Intuitionistic Neo-Fuzzy predictive control

Margarita Terziyska, Yancho Todorov

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)


This paper presents an implicit predictive control strategy based on Intuitionistic Neo-Fuzzy predictor, as a first attempt to investigate the potentials of the intuitionistic fuzzy logic for the purpose of control applications. The proposed predictor represents a simple fuzzy-neural network as fusion from the concepts of the intuitionistic fuzzy logic, the neo-fuzzy neuron theory and the classical Takagi-Sugeno inference mechanism. The predictions are then coupled into generalized predictive control scheme where a standard quadratic control cost function is minimized over a set of predefined horizons. For simplicity, the considered process variables and the calculated output control sequence are iteratively bounded instead of explicitly constrained, in order to investigate the computational procedures related to implementation of an intuitionistic fuzzy logic. To investigate the potentials of the proposed predictive control approach, numerical experiments to control a Continuous Stirred Tank Reactor (CSTR) under uncertain conditions are studied.

Original languageEnglish
Title of host publication2016 IEEE 8th International Conference on Intelligent Systems, IS 2016
EditorsVassil Sgurev, Ronald Yager, Mincho Hadjiski, Vladimir Jotsov
PublisherIEEE Institute of Electrical and Electronic Engineers
ISBN (Electronic)978-1-5090-1354-8, 978-1-5090-1353-1
ISBN (Print)978-1-5090-1355-5
Publication statusPublished - 7 Nov 2016
MoE publication typeA4 Article in a conference publication
Event8th IEEE International Conference on Intelligent Systems, IS 2016 - Sofia, Bulgaria
Duration: 4 Sept 20166 Sept 2016


Conference8th IEEE International Conference on Intelligent Systems, IS 2016


  • Continuous Stirred Tank Reactor
  • Intuitionistic Fuzzy Logic
  • Intuitionistic Neo-Fuzzy Network
  • Model Predictive Control
  • Neo-Fuzzy Network


Dive into the research topics of 'Intuitionistic Neo-Fuzzy predictive control'. Together they form a unique fingerprint.

Cite this