Flocking of mobile intelligent agents on fuzzy system with optimal theories

Hong-yong Yang (), Jian-zhong Gu, Guang-deng Zong and Si-ying Zhang
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Hong-yong Yang: Ludong University
Jian-zhong Gu: Ludong University
Guang-deng Zong: Qufu Normal University
Si-ying Zhang: Ludong University

Fuzzy Information and Engineering, 2010, vol. 2, issue 4, 347-359

Abstract: Abstract A dynamical model is presented for autonomous mobile intelligent agents. Based on the local information of the swarm, a fuzzy logical controller (FLC) is built for the attraction/repulsion function. The flocking of the separation, cohesion and alignment are achieved by combining with the rate consensus algorithm. Based on the optimal controller theories, a performance target is used to measure the states of the system. By applying the connected network from the individual local perceived information, the aggregation of the multi-agent systems can swarm following a whole consensus in the computer simulations.

Keywords: Flocking; Mobile intelligent agents; Fuzzy system; Alignment; Attraction/Repulsion; Dynamical model (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/s12543-010-0055-4

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