Optimal design of membership functions of a fuzzy logic controller for an autonomous wheeled mobile robot using ant colony optimization

• Autorzy: Martínez P. , Castillo O. , Alanis A. , Garcia M. , Soria J.
• Języki publikacji: EN

Abstrakty

EN

In this paper we describe the application of a Simple ACO (S-ACO) as a method of optimization for membership functions' parameters of a fuzzy logic controller (FLC) in order to find the optimal intelligent controller for an Autonomous Wheeled Mobile Robot. Simulation results show that ACO outperforms a GA in the optimization of FLCs for an autonomous mobile robot.

Słowa kluczowe

EN

fuzzy control; ant colony optimization; autonomous mobile robots

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2010
• Tom: Vol. 4, No. 1
• Strony: 43--48
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Martínez P.

autor

Castillo O.

autor

Alanis A.

autor

Garcia M.

autor

Soria J.

• Tijuana Institute of Technology, Tijuana México,

Bibliografia

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• [9] Liberzon D., Switching in Systems and control , Bikhauser, 2003
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• [11] Porta-García M., Montiel O. and Sepulveda R., “An ACO path planner using a FIS for a Path Selection Adjusted with a Simple Tuning Algorithm”, Journal of Automation, Mobile Robotics and Intelligent Systems, vol. 2, no. 1, 2008 , pp. 5-11.
• [12] Sepúlveda R., Castillo O., Melin P., Montiel O., “An Efficient Computational Method to Implement Type-2 Fuzzy Logic In control Applications, Analysis and Design of Intelligent Systems Using Soft Computing Techniques”, Advances in Soft Computing, vol. 41, June 2007, pp. 45-52.