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Autonomous mobile intelligent robots on fuzzy system with optimal theories

Hong-yong YangFu-zeng Zhang

pp. 24-32

Abstract

A dynamical model for autonomous mobile intelligent robots is presented. Based on the local 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 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 simulation.

Publication details

Published in:

Cao Bing-yuan, Zhang Cheng-yi, Li Tai-fu (2009) Fuzzy information and Engineering I. Dordrecht, Springer.

Pages: 24-32

DOI: 10.1007/978-3-540-88914-4_4

Full citation:

Yang Hong-yong, Zhang Fu-zeng (2009) „Autonomous mobile intelligent robots on fuzzy system with optimal theories“, In: B. Cao, C. Zhang & T.-f. Li (eds.), Fuzzy information and Engineering I, Dordrecht, Springer, 24–32.