DocumentCode :
1775393
Title :
Fractional-order consensus of multi-agent systems with event-triggered control
Author :
Guang-Hui Xu ; Ming Chi ; Ding-Xin He ; Zhi-Hong Guan ; Ding-Xue Zhang ; Yonghong Wu
Author_Institution :
Coll. of Autom., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2014
fDate :
18-20 June 2014
Firstpage :
619
Lastpage :
624
Abstract :
In this paper, the event-driven control strategies have been proposed to study the consensus of fractional-order multi-agent systems. A general consensus control algorithm is introduced to analyze the fractional-order agent dynamics. Base on limited resources of embedded microprocessors and wireless sensors, event-triggered control mechanism have been exploited in a centralized approach, where all agents implement the same control update by the global measurement error. While in distributed counterpart, each agent executes control update depending on the information of itself and its neighboring agents. Sufficient conditions for consensus have been achieved on interaction graph and event-triggered real time constraint parameter. Finally, simulation examples are presented to illustrate the results.
Keywords :
centralised control; discrete event systems; graph theory; multi-robot systems; agent control update execution; agent information; centralized approach; embedded microprocessors; event-driven control strategies; event-triggered control mechanism; event-triggered real time constraint parameter; fractional-order agent dynamics; fractional-order consensus; fractional-order multiagent system; general consensus control algorithm; global measurement error; interaction graph; multiagent systems; sufficient conditions; wireless sensors; Convergence; Educational institutions; Laplace equations; Measurement errors; Multi-agent systems; Topology; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (ICCA), 11th IEEE International Conference on
Conference_Location :
Taichung
Type :
conf
DOI :
10.1109/ICCA.2014.6870991
Filename :
6870991
Link To Document :
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