Takagi-sugeno fuzzy control models for large scale logistics systems

István Harmati, Gabriella Orbán, P. Várlaki

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

5 Citations (Scopus)

Abstract

Requirements, such as adaptive behavior, learning ability and self regulative features, that have to be met by modern logistic systems, need the construction of such control systems that are able to control the basic processes and also to develop and improve the material and information system by automating the control processes. For controlling the logistical systems the papers propose the application of LPV structure by which non-linear systems can be controlled on the basis of linear control theories. The proposal points out that the priorities of different states are of great importance when generating the logical rules of operation. For resolving the difficulties of constructing mathematical algorithms fuzzy sets are suggested, so in the control model a Takagi-Sugeno solution is proposed, that can describe multi-input multi-output, non-linear, dynamic systems like logistical systems.

Original languageEnglish
Title of host publicationISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings
Pages199-203
Number of pages5
DOIs
Publication statusPublished - 2007
EventISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics - Agadir, Morocco
Duration: Mar 28 2007Mar 30 2007

Other

OtherISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics
CountryMorocco
CityAgadir
Period3/28/073/30/07

Fingerprint

Fuzzy control
Fuzzy Control
Logistics
Adaptive Behavior
Nonlinear Dynamic System
Linear Control
Fuzzy sets
Process Control
Control theory
Control Theory
Fuzzy Sets
Nonlinear systems
Information Systems
Dynamical systems
Information systems
Nonlinear Systems
Control System
Model
Control systems
Output

Keywords

  • Large scale logisctic systems
  • Takagi-Sugeno controller

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Mathematics(all)

Cite this

Harmati, I., Orbán, G., & Várlaki, P. (2007). Takagi-sugeno fuzzy control models for large scale logistics systems. In ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings (pp. 199-203). [4218422] https://doi.org/10.1109/ISCIII.2007.367389

Takagi-sugeno fuzzy control models for large scale logistics systems. / Harmati, István; Orbán, Gabriella; Várlaki, P.

ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings. 2007. p. 199-203 4218422.

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

Harmati, I, Orbán, G & Várlaki, P 2007, Takagi-sugeno fuzzy control models for large scale logistics systems. in ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings., 4218422, pp. 199-203, ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics, Agadir, Morocco, 3/28/07. https://doi.org/10.1109/ISCIII.2007.367389
Harmati I, Orbán G, Várlaki P. Takagi-sugeno fuzzy control models for large scale logistics systems. In ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings. 2007. p. 199-203. 4218422 https://doi.org/10.1109/ISCIII.2007.367389
Harmati, István ; Orbán, Gabriella ; Várlaki, P. / Takagi-sugeno fuzzy control models for large scale logistics systems. ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings. 2007. pp. 199-203
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