Title
Global finite-time event-triggered consensus for a class of second-order multi-agent systems with the power of positive odd rational number and quantized control inputs
Abstract
In this paper, we mainly investigate the global finite-time event-triggered consensus problem for a class of second-order multi-agent systems with the power of positive odd rational number and quantized control inputs under directed network topology. Under an appropriate assumption, a novel finite-time event-triggered consensus protocol is proposed to reduce the communication burden from the controller to the actuator. Based on the backstepping method, a synthetic trigger function is derived, and it is proven theoretically that the Zeno behavior is avoided for each agent under this trigger condition. Moreover, to avoid the chattering phenomenon caused by unknown input disturbances, the hysteretic quantizers are incorporated to quantize the input signals. It is shown that the proposed finite-time event-triggered consensus protocol enables the local neighbor position error, and the velocity error between any two agents converges toward a small range of the origin in a finite time. Finally, the proposed method is validated through a numerical example.
Year
DOI
Venue
2019
10.1016/j.neucom.2019.05.065
Neurocomputing
Keywords
Field
DocType
Multi-agent systems,Finite time,Consensus,Event triggered,Quantized control inputs
Consensus,Rational number,Control theory,Backstepping,Pattern recognition,Control theory,Multi-agent system,Network topology,Artificial intelligence,Quantization (physics),Mathematics,Actuator
Journal
Volume
ISSN
Citations 
360
0925-2312
1
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Jiehan Liu121.72
Chaoli Wang25811.04
Xuan Cai3225.77