Discrete event fuzzy logic control with application to sensor-based intelligent mobile robotics

Author

Sheikh-Bahaei, Shahab ; Jamshidi, Mo

Author_Institution

Autonomous Control Eng. Center, New Mexico Univ., Albuquerque, NM

Volume

15

fYear

2004

fDate

June 28 2004-July 1 2004

Firstpage

265

Lastpage

272

Abstract

In this paper, we investigate an intelligent discrete event method suitable for modeling, simulation and control of hybrid systems. More in detail, a fuzzy logic approach based on discrete event system specification (DEVS) is introduced in the present work. The resulting discrete event fuzzy logic (DEFuL) is shown to be faster since it is event-driven, and more suitable for real-time adaptive control. DEFuL is used successfully in both simulation and real-time control of sensor-based intelligent mobile robots, illustrating how the above concepts can be fruitfully applied

Keywords

adaptive control; discrete event systems; fuzzy control; fuzzy set theory; intelligent robots; mobile robots; real-time systems; sensors; DEVS; discrete event control; discrete event system specification; fuzzy logic control; hybrid system control; hybrid system modeling; hybrid system simulation; intelligent discrete event method; real time adaptive control; sensor based intelligent mobile robotics; Adaptive control; Control system synthesis; Discrete event simulation; Discrete event systems; Fuzzy logic; Intelligent control; Intelligent robots; Intelligent sensors; Mobile robots; Robot sensing systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation Congress, 2004. Proceedings. World

Conference_Location

Seville

Print_ISBN

1-889335-21-5

Type

conf

Filename

1438563