NDLI: Moment fuzzy control methods for selecting the shortest path

Content Provider	IEEE Xplore Digital Library
Author	Tao, T.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. & Commun. Eng., Taipei Chengshih Univ. of Sci. & Technol., Taipei, Taiwan (Tao, T.)
Abstract	This paper presents moment fuzzy control methods to select the shortest path in a car-like mobile robot model. When the wheel's direction is same with the forward direction that is the direction from car's front center to the destination, the shortest path's rule is gotten. The purpose of moment fuzzy control methods is to select an optimal wheel's angle such that the shortest path's rule will be satisfied. A moment fuzzy theorem is also proposed to ensure that the wheel's direction will approach the shortest path's direction in a stable way. Finally, different destinations are assigned for the robot car to reach along the shortest path in our simulations. These simulations illustrate the excellent performance of the moment fuzzy methods for a car-like mobile robot model to take the shortest path to approach the destination.
Starting Page	133
Ending Page	138
File Size	274721
Page Count	6
File Format	PDF
ISSN	23775831
e-ISBN	9781467365703
DOI	10.1109/iFUZZY.2015.7391907
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Car-like mobile robot Shortest path Moment fuzzy methods
Content Type	Text
Resource Type	Article

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