Open AccessINTELLIGENT VEHICLE PARKING USING FUZZY-NEURAL NETWORKS
Author(s) -
Subhrajit Pradhan,
Srikant Patnaik,
Sukanta Kumar Tulo
Publication year - 2013
Publication title -
international journal of communication networks and security
Language(s) - English
Resource type - Journals
ISSN - 2231-1882
DOI - 10.47893/ijcns.2013.1078
Subject(s) - controller (irrigation) , computer science , fuzzy logic , mobile robot , artificial neural network , robot , fuzzy control system , control engineering , control theory (sociology) , artificial intelligence , simulation , engineering , control (management) , agronomy , biology
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.