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2019•Unpublished venueRequires access

Distributed Event-Based Control for Second-Order Multi-Agent Systems

Mayank Sewlia, Daniel Zelazo

Open publisher page 3 citations

Abstract

In this paper, we propose a state dependent event triggering condition to achieve consensus for a team of agents modeled with second order integrator dynamics. We study two event-based consensus algorithms. In the first algorithm we guarantee that the agents reach position consensus with a constant final velocity while the second algorithm guarantees that the agents reach position consensus with a zero final velocity. The results are verified through simulation examples.

About this research paper

What this paper is about

In this paper, we propose a state dependent event triggering condition to achieve consensus for a team of agents modeled with second order integrator dynamics. We study two event-based consensus algorithms. In the first algorithm we guarantee that the agents reach position consensus with a constant final velocity while the second algorithm guarantees that the agents reach position consensus with a zero final velocity. The results are verified through simulation examples.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

In this paper, we propose a state dependent event triggering condition to achieve consensus for a team of agents modeled with second order integrator dynamics. We study two event-based consensus algorithms. In the first algorithm we guarantee that the agents reach position consensus with a constant final velocity while the second algorithm guarantees that the agents reach position consensus with a zero final velocity. The results are verified through simulation examples.

Key concepts: Consensus, Double integrator, Multi-agent system, Position (finance), Computer science, Integrator, Consensus algorithm, Constant (computer programming)

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