Practical consensus tracking of homogeneous sampled-data multi-agent systems

Florence Josse; Emmanuel Bernuau; Emmanuel Moulay; Patrick Coirault; Qing Hui; Josh Allen

doi:10.23919/acc53348.2022.9867581

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Practical consensus tracking of homogeneous sampled-data multi-agent systems

Florence Josse Emmanuel Bernuau Emmanuel Moulay Patrick Coirault Qing Hui Josh Allen

Year: 2022 Journal: 2022 American Control Conference (ACC) Pages: 1569-1574

DOI: 10.23919/acc53348.2022.9867581

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Abstract

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Keywords:

Robustness (evolution) Homogeneous Computer science Multi-agent system Sampled data systems Acceleration Distributed computing Consensus algorithm Sampling (signal processing) Control theory (sociology) Artificial intelligence Algorithm Mathematics Control system Engineering Computer vision Control (management)

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Distributed Control Multi-Agent Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Neural Networks Stability and Synchronization

Physical Sciences → Computer Science → Computer Networks and Communications

Mathematical and Theoretical Epidemiology and Ecology Models

Health Sciences → Medicine → Public Health, Environmental and Occupational Health

Practical consensus tracking of homogeneous sampled-data multi-agent systems

Abstract

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