Event-triggered consensus for multi-agent systems with guaranteed robust positive minimum inter-event times
Autor: | Romain Postoyan, Wpmh Maurice Heemels, V.S. Dolk |
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Přispěvatelé: | ASML Netherlands B.V., Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Eindhoven University of Technology [Eindhoven] (TU/e), ANR-18-CE40-0010,HANDY,Systèmes Dynamiques Hybrides et en Réseau(2018), Mechanical Engineering, Control Systems Technology, Postoyan, Romain, Systèmes Dynamiques Hybrides et en Réseau - - HANDY2018 - ANR-18-CE40-0010 - AAPG2018 - VALID |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
0209 industrial biotechnology
[SPI.AUTO] Engineering Sciences [physics]/Automatic 020901 industrial engineering & automation Network packet Computer science Robustness (computer science) Multi-agent system Distributed computing 02 engineering and technology Event triggered [SPI.AUTO]Engineering Sciences [physics]/Automatic |
Zdroj: | 58th IEEE Conference on Decision and Control, CDC 2019 58th IEEE Conference on Decision and Control, CDC 2019, Dec 2019, Nice, France 2019 IEEE 58th Conference on Decision and Control, CDC 2019, 2604-2609 STARTPAGE=2604;ENDPAGE=2609;TITLE=2019 IEEE 58th Conference on Decision and Control, CDC 2019 CDC |
Popis: | International audience; We study consensus seeking single-integrator multi-agent systems equipped with packet-based communication channels. As the communication bandwidth of such channels is typically limited, it is essential to consider control schemes that lead to the desired performance while not overusing the communication resources. For this purpose, we propose a distributed dynamic event-triggered control scheme that results in aperiodic information exchange between agents, asymptotic consensus, strictly positive lower bounds on the inter-event times (strong Zeno-freeness) and robustness to unknown, non-uniform, and time-varying transmission delays. The proposed framework is such that the local control laws and event-triggering mechanisms can be directly obtained from the number of connected agents and local tuning parameters. The proposed design framework is therefore applicable to large-scale multi-agent systems. |
Databáze: | OpenAIRE |
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