Consensus of Multiagent Systems with Sampled Information and Noisy Measurements

Consensus of Multiagent Systems with Sampled Information and Noisy Measurements

We consider consensus problems of first-order multiagent systems with sampled information and noisy measurements. A distributed stochastic approximation type algorithm is employed to attenuate the measurement noises. We provide conditions under which almost sure strong consensus is guaranteed for fi...

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Veröffentlicht in:Discrete Dynamics in Nature and Society 2013-01, Vol.2013 (2013), p.364-372-041
Hauptverfasser: Tang, Zhao-Jun, Shao, Jin-Liang, Huang, Ting-Zhu
Format: Artikel
Sprache:eng
Schlagworte:
Approximation
Approximation theory
Attenuation
Computer simulation
Dynamical systems
Dynamics
Mathematical analysis
Mathematical research
Multi-agent systems
Multiagent systems
Network topologies
Random variables
Science
Stochastic processes
Studies
Switching
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Zusammenfassung:We consider consensus problems of first-order multiagent systems with sampled information and noisy measurements. A distributed stochastic approximation type algorithm is employed to attenuate the measurement noises. We provide conditions under which almost sure strong consensus is guaranteed for fixed and switching directed network topologies. Simulation results are provided to illustrate the theoretical results.
ISSN:1026-0226
1607-887X
DOI:10.1155/2013/206408