Mean Square Output Consensus Control of Heterogeneous Multi-Agent Systems With Multiplicative Measurement Noises

Dianqiang Li; Tao Li

doi:10.1109/ICCA54724.2022.9831968

Mean Square Output Consensus Control of Heterogeneous Multi-Agent Systems With Multiplicative Measurement Noises

Dianqiang Li
, Tao Li^*

^*Corresponding author for this work

School of Mathematical Sciences

East China Normal University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We study mean square output consensus control of heterogeneous multi-agent systems with multiplicative measurement noises. Each agent has a continuous-time linear heterogeneous dynamics with incomplete measurable state, and there are multiplicative noises along with information exchange among agents. We propose distributed cooperative control laws based on distributed observers and the certainty equivalence principle. By output regulation theory and stochastic analysis, we show that if the dynamics of agents are stabilizable and detectable and the communication graph is connected, then the proposed cooperative control law can ensure mean square output consensus. Finally, the effectiveness of our control laws is demonstrated by a numerical simulation for frequency synchronization of a micro-grid.

Original language	English
Title of host publication	2022 IEEE 17th International Conference on Control and Automation, ICCA 2022
Publisher	IEEE Computer Society
Pages	180-185
Number of pages	6
ISBN (Electronic)	9781665495721
DOIs	https://doi.org/10.1109/ICCA54724.2022.9831968
State	Published - 2022
Event	17th IEEE International Conference on Control and Automation, ICCA 2022 - Naples, Italy Duration: 27 Jun 2022 → 30 Jun 2022

Publication series

Name	IEEE International Conference on Control and Automation, ICCA
Volume	2022-June
ISSN (Print)	1948-3449
ISSN (Electronic)	1948-3457

Conference

Conference	17th IEEE International Conference on Control and Automation, ICCA 2022
Country/Territory	Italy
City	Naples
Period	27/06/22 → 30/06/22

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10.1109/ICCA54724.2022.9831968

Cite this

Li, D., & Li, T. (2022). Mean Square Output Consensus Control of Heterogeneous Multi-Agent Systems With Multiplicative Measurement Noises. In 2022 IEEE 17th International Conference on Control and Automation, ICCA 2022 (pp. 180-185). (IEEE International Conference on Control and Automation, ICCA; Vol. 2022-June). IEEE Computer Society. https://doi.org/10.1109/ICCA54724.2022.9831968

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title = "Mean Square Output Consensus Control of Heterogeneous Multi-Agent Systems With Multiplicative Measurement Noises",

abstract = "We study mean square output consensus control of heterogeneous multi-agent systems with multiplicative measurement noises. Each agent has a continuous-time linear heterogeneous dynamics with incomplete measurable state, and there are multiplicative noises along with information exchange among agents. We propose distributed cooperative control laws based on distributed observers and the certainty equivalence principle. By output regulation theory and stochastic analysis, we show that if the dynamics of agents are stabilizable and detectable and the communication graph is connected, then the proposed cooperative control law can ensure mean square output consensus. Finally, the effectiveness of our control laws is demonstrated by a numerical simulation for frequency synchronization of a micro-grid.",

author = "Dianqiang Li and Tao Li",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 17th IEEE International Conference on Control and Automation, ICCA 2022 ; Conference date: 27-06-2022 Through 30-06-2022",

year = "2022",

doi = "10.1109/ICCA54724.2022.9831968",

language = "英语",

series = "IEEE International Conference on Control and Automation, ICCA",

publisher = "IEEE Computer Society",

pages = "180--185",

booktitle = "2022 IEEE 17th International Conference on Control and Automation, ICCA 2022",

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Li, D & Li, T 2022, Mean Square Output Consensus Control of Heterogeneous Multi-Agent Systems With Multiplicative Measurement Noises. in 2022 IEEE 17th International Conference on Control and Automation, ICCA 2022. IEEE International Conference on Control and Automation, ICCA, vol. 2022-June, IEEE Computer Society, pp. 180-185, 17th IEEE International Conference on Control and Automation, ICCA 2022, Naples, Italy, 27/06/22. https://doi.org/10.1109/ICCA54724.2022.9831968

Mean Square Output Consensus Control of Heterogeneous Multi-Agent Systems With Multiplicative Measurement Noises. / Li, Dianqiang; Li, Tao.
2022 IEEE 17th International Conference on Control and Automation, ICCA 2022. IEEE Computer Society, 2022. p. 180-185 (IEEE International Conference on Control and Automation, ICCA; Vol. 2022-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - We study mean square output consensus control of heterogeneous multi-agent systems with multiplicative measurement noises. Each agent has a continuous-time linear heterogeneous dynamics with incomplete measurable state, and there are multiplicative noises along with information exchange among agents. We propose distributed cooperative control laws based on distributed observers and the certainty equivalence principle. By output regulation theory and stochastic analysis, we show that if the dynamics of agents are stabilizable and detectable and the communication graph is connected, then the proposed cooperative control law can ensure mean square output consensus. Finally, the effectiveness of our control laws is demonstrated by a numerical simulation for frequency synchronization of a micro-grid.

AB - We study mean square output consensus control of heterogeneous multi-agent systems with multiplicative measurement noises. Each agent has a continuous-time linear heterogeneous dynamics with incomplete measurable state, and there are multiplicative noises along with information exchange among agents. We propose distributed cooperative control laws based on distributed observers and the certainty equivalence principle. By output regulation theory and stochastic analysis, we show that if the dynamics of agents are stabilizable and detectable and the communication graph is connected, then the proposed cooperative control law can ensure mean square output consensus. Finally, the effectiveness of our control laws is demonstrated by a numerical simulation for frequency synchronization of a micro-grid.

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ER -

Mean Square Output Consensus Control of Heterogeneous Multi-Agent Systems With Multiplicative Measurement Noises

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