Optimal containment control of continuous-time multi-agent systems with unknown disturbances using data-driven approach

Zhinan Peng; Jiefu Zhang; Jiangping Hu; Rui Huang; Bijoy Kumar Ghosh

doi:10.1007/s11432-019-9868-2

Optimal containment control of continuous-time multi-agent systems with unknown disturbances using data-driven approach

Zhinan Peng, Jiefu Zhang, Jiangping Hu, Rui Huang, Bijoy Kumar Ghosh

Mathematics and Statistics

Research output: Contribution to journal › Letter › peer-review

6 Scopus citations

Original language	English
Article number	209205
Journal	Science China Information Sciences
Volume	63
Issue number	10
DOIs	https://doi.org/10.1007/s11432-019-9868-2
State	Published - Oct 1 2020

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10.1007/s11432-019-9868-2

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title = "Optimal containment control of continuous-time multi-agent systems with unknown disturbances using data-driven approach",

author = "Zhinan Peng and Jiefu Zhang and Jiangping Hu and Rui Huang and Ghosh, {Bijoy Kumar}",

note = "Funding Information: This work was supported by National Natural Science Foundation of China (Grant Nos. 61473061, 71503206, 61104104) and Program for New Century Excellent Talents in University (Grant No. NCET-13-0091).",

year = "2020",

month = oct,

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doi = "10.1007/s11432-019-9868-2",

language = "English",

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T1 - Optimal containment control of continuous-time multi-agent systems with unknown disturbances using data-driven approach

AU - Peng, Zhinan

AU - Zhang, Jiefu

AU - Hu, Jiangping

AU - Huang, Rui

AU - Ghosh, Bijoy Kumar

N1 - Funding Information: This work was supported by National Natural Science Foundation of China (Grant Nos. 61473061, 71503206, 61104104) and Program for New Century Excellent Talents in University (Grant No. NCET-13-0091).

PY - 2020/10/1

Y1 - 2020/10/1

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U2 - 10.1007/s11432-019-9868-2

DO - 10.1007/s11432-019-9868-2

M3 - Letter

AN - SCOPUS:85074427847

SN - 1674-733X

VL - 63

JO - Science China Information Sciences

JF - Science China Information Sciences

IS - 10

M1 - 209205

ER -

Optimal containment control of continuous-time multi-agent systems with unknown disturbances using data-driven approach

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