Fuzzy Function Approximation in Simulation Model

The paper deals with the utilization of fuzzy logic for simulation model parameters, which are changed during simulation experiments. An additive fuzzy system is used for approximation of continuous functions, whereas the relevant membership functions are based on ellipsoidal rules. Application of the methodology is shown by the parameter adaptation related to simulation modeling of an asynchronous machine. The mentioned adaptation depends on the changing magnetic properties.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03535320
• Supplemental Notes:
  • Abstract reprinted with permission from PROMET
• Authors:
  • Stradal, Oktavian
• Publication Date: 2007

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 221-224
• Serial:
  • Promet Traffic-Traffico
  • Volume: 19
  • Issue Number: 4
  • Publisher: University of Zagreb
  • ISSN: 0353-5320

Subject/Index Terms

• TRT Terms: Algorithms; Fuzzy logic; Fuzzy systems; Simulation; Traffic control; Traffic models
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01076899
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 25 2007 7:49AM