Consensus algorithms design for constrained heterogeneous multi-agent systems

Abdelkader Abdessameud; Abdelhamid Tayebi; Ilia G. Polushin

doi:10.1109/CDC.2012.6426273

Consensus algorithms design for constrained heterogeneous multi-agent systems

Abdelkader Abdessameud, Abdelhamid Tayebi, Ilia G. Polushin

School of Science, Engineering & Technology (Harrisburg)

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

This paper addresses the output consensus problem of heterogeneous multi-agent systems. Specifically, we propose consensus algorithms that account for input saturations using only the available output measurements. Our approach takes roots from a simple design procedure built around ideal first order consensus schemes (full state availability and no input saturations) and extends to the more challenging case including systems heterogeneity, input saturations and partial state availability. Numerical examples are provided to illustrate the effectiveness of the obtained theoretical results.

Original language	English (US)
Article number	6426273
Pages (from-to)	825-830
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
DOIs	https://doi.org/10.1109/CDC.2012.6426273
State	Published - 2012
Event	51st IEEE Conference on Decision and Control, CDC 2012 - Maui, HI, United States Duration: Dec 10 2012 → Dec 13 2012

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

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10.1109/CDC.2012.6426273

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abstract = "This paper addresses the output consensus problem of heterogeneous multi-agent systems. Specifically, we propose consensus algorithms that account for input saturations using only the available output measurements. Our approach takes roots from a simple design procedure built around ideal first order consensus schemes (full state availability and no input saturations) and extends to the more challenging case including systems heterogeneity, input saturations and partial state availability. Numerical examples are provided to illustrate the effectiveness of the obtained theoretical results.",

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AB - This paper addresses the output consensus problem of heterogeneous multi-agent systems. Specifically, we propose consensus algorithms that account for input saturations using only the available output measurements. Our approach takes roots from a simple design procedure built around ideal first order consensus schemes (full state availability and no input saturations) and extends to the more challenging case including systems heterogeneity, input saturations and partial state availability. Numerical examples are provided to illustrate the effectiveness of the obtained theoretical results.

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ER -

Consensus algorithms design for constrained heterogeneous multi-agent systems

Abstract

All Science Journal Classification (ASJC) codes

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