Intelligent Autonomous Agents on Fuzzy System

Author

Zhang, Fu-Zeng ; Yang, Hong-yong

Author_Institution

Sch. of Comput. Sci. & Technol., Ludong Univ., Yantai

Volume

1

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

540

Lastpage

543

Abstract

Based on individual local observed information of the swarm, a fuzzy logical controller (FLC) of the attraction/repulsion function is built. Combining with the rate consensus algorithm, the swarming of the separation, cohesion and alignment is achieved. Based on the optimal controller theories, a capability target is used to measure the states of the system. In the computer simulation, it is shown that the aggregation of the multi-agent systems can get consensus following a mobile leader from the individual local perceived information.

Keywords

fuzzy control; mobile agents; multi-agent systems; optimal control; attraction/repulsion function; fuzzy logical controller; fuzzy system; intelligent autonomous agents; mobile leader; multiagent system; optimal control; rate consensus algorithm; Autonomous agents; Computer simulation; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Intelligent agent; Mobile computing; Multiagent systems; Optimal control; coordinated motion; fuzzy controller; multiple autonomous agents; optimal;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.955

Filename

4721806