Adaptive fuzzy control via modification of linguistic variables
- 2 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
A fuzzy knowledge-based control system developed for mobile robot motion control is introduced. The method for deriving a fuzzy knowledge-base is established, based on a commercially available mobile robot. The adaptation method for fuzzy knowledge-based systems reacts to environmental variations and modifies the definitions of linguistic state variables instead of modifying the knowledge-base itself. Some simulation results are presented to demonstrate that the proposed adaptive scheme makes significant improvements in system performance even when there are severe environmental variations.Keywords
This publication has 4 references indexed in Scilit:
- FUZZY SETS AND SYSTEMS*International Journal of General Systems, 1990
- Identification of a Mobile Robot BehaviorPublished by SPIE-Intl Soc Optical Eng ,1987
- Mobile Robots Real-Time Intelligent ControlIEEE Expert, 1987
- Fuzzy setsInformation and Control, 1965