Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/4263
Title: Soft Computing Techniques for the Path Following Behavior and Moving Target Pursing by a Mobile Robot
Authors: Lakhmissi Cherroun
Mohamed Boumehraz
Raihane Mechgoug
Keywords: mobile robot, path following, neuro-fuzzy controller, hybrid learning, moving target pursing
Issue Date: 25-Nov-2014
Abstract: This paper presents a navigation method for an autonomous mobile robot. In order to equip the robot by capacity of autonomy and intelligence in its environment, the control system must perform much complex information and processing tasks in real time, and it is well suited to use the soft-computing techniques. The objective of this paper is to elaborate intelligent control systems for the path following behavior by a mobile robot using fuzzy and neuro-fuzzy controllers. The proposed controllers are used for pursing a moving target. Simulation results show the effectiveness of the designed controllers. The results are discussed and compared.
URI: http://dspace.univ-biskra.dz:8080/jspui/handle/123456789/4263
Appears in Collections:Communications Internationales



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