Impulsive Consensus of Multiagent Systems With Limited Bandwidth Based on Encoding-Decoding

Energy constrains are always significant to be considered in control of multiagent systems. Besides, nonlinear phenomena are often involved into such systems. In this paper, we discuss the impulsive consensus problem of nonlinear multiagent systems via impulsive protocol with limited bandwidth commu...

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Vydané v:IEEE transactions on cybernetics Ročník 50; číslo 1; s. 36 - 47
Hlavní autori: Han, Yiyan, Li, Chuandong, Zhang, Wanli, Ahmad, Hafiz Gulfam
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States IEEE 01.01.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Bandwidth
Bandwidths
Coders
Communication
Computer simulation
Convergence
Decoders
Decoding
Dynamical systems
Encoding–decoding
Energy conservation
exponential consensus
impulsive consensus
Laplace equations
limited bandwidth communication
Multi-agent systems
Multiagent systems
Network topology
Nonlinear dynamical systems
Nonlinear dynamics
Nonlinear phenomena
Nonlinear systems
Protocols
Topology
ISSN:2168-2267, 2168-2275, 2168-2275
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Shrnutí:Energy constrains are always significant to be considered in control of multiagent systems. Besides, nonlinear phenomena are often involved into such systems. In this paper, we discuss the impulsive consensus problem of nonlinear multiagent systems via impulsive protocol with limited bandwidth communication based on encoding-decoding. The scheme based on encoding-decoding with impulsive protocol is introduced to multiagent systems in general directed networks topology of which the graph is strongly connected. The impulsive protocols and limited bandwidth communication enhance the performance on energy saving and the involvement of nonlinear dynamics could suit more real-world cases. The design of encoders and decoders is presented, which is the key to achieve the goal that the information exchanged is subject to limited bandwidth communication. The conditions to guarantee the impulsive consensus and the conditions to avoid quantizer saturation are obtained. Moreover, the convergence rate of such multiagent systems are also characterized by the analysis of the exponential consensus. The numerical simulations are presented to support the theoretical results.
Bibliografia:ObjectType-Article-1
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ISSN:2168-2267
2168-2275
2168-2275
DOI:10.1109/TCYB.2018.2863108