"INTELLIGENT VEHICLE PARKING USING FUZZY-NEURAL NETWORKS" by Subhrajit Pradhan, Srikanta Patnaik et al.

Home > IJCNS > Vol. 2 > Iss. 2 (2013)

International Journal of Communication Networks and Security

Article Title

INTELLIGENT VEHICLE PARKING USING FUZZY-NEURAL NETWORKS

Authors

Subhrajit Pradhan, Assistant Professor, Department of Electronics & Communication Engineering, Gandhi Institute of Engineering & Technology(GIET), Gunupur-765022, Rayagada, Odisha, IndiaFollow
Srikanta PatnaikFollow
Sukanta Kumar Tulo, M.Tech., Electronics & Communication Engineering, Gandhi Institute of Engineering & Technology(GIET), Gunupur-765022, Rayagada, Odisha, India.Follow

Abstract

This paper analyzes the performance and practical implementation of fuzzy-neural networks for the autonomous motion of mobile robots. The designed fuzzy-neural controller is a refined version of a conventional fuzzy controller, and was trained to optimize a given cost function minimizing positioning error. It was found that the mobile robot with fuzzyneural controller presents good positioning and tracking performance for different types of desired trajectories. It was verified by computer simulation as well as experimentally using a laboratory-scale car-like robot model.

Recommended Citation

Pradhan, Subhrajit; Patnaik, Srikanta; and Tulo, Sukanta Kumar (2013) "INTELLIGENT VEHICLE PARKING USING FUZZY-NEURAL NETWORKS," International Journal of Communication Networks and Security: Vol. 2 : Iss. 2 , Article 4.
Available at: https://www.interscience.in/ijcns/vol2/iss2/4

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