Volume 32, Issue 18 pp. 9667-9680
SPECIAL ISSUE ARTICLE

On the robustness of distributed proportional-integral consensus protocols under channel uncertainties

Lina Rong

Corresponding Author

Lina Rong

School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, P.R. China

Correspondence Lina Rong, School of Automation, Nanjing University of Posts and Telecommunications, Jiangsu, Nanjing 210023, P.R. China.

Email: [email protected]

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Guo-Ping Jiang

Guo-Ping Jiang

School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, P.R. China

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Shengyuan Xu

Shengyuan Xu

School of Automation, Nanjing University of Science and Technology, Nanjing, P.R. China

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First published: 16 November 2020
Citations: 1

Funding information: Natural Science Foundation of Jiangsu Province, BK20171441

Abstract

This article studies the robust consensus problem for uncertain multiagent systems under distributed proportional-integral (PI) protocols. For both continuous-time and discrete-time multiagent systems, we allow additive channel uncertainties that are stable and bounded in urn:x-wiley:rnc:media:rnc5329:rnc5329-math-0001 norm. By exploiting the generalized network complementary sensitivity function (GNCSF), necessary and sufficient conditions under which the robust consensus with distributed PI protocols can be guaranteed are derived. For the continuous-time case, it is shown that the robust consensus can be reached if and only if the uncertainty radius and the urn:x-wiley:rnc:media:rnc5329:rnc5329-math-0002 norm of the GNCSF satisfy certain constraint. For the discrete-time case, it is shown that the robust consensus can be preserved under both the constraints on the parameters of the PI protocols and the relationship of the uncertainty radius and the urn:x-wiley:rnc:media:rnc5329:rnc5329-math-0003 norm of the GNCSF. Finally, numerical examples are provided to show the effectiveness of the theoretical results.

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