Optimal consensus for uncertain high‐order multi‐agent systems by output feedback

The distributed optimal output consensus problem for high‐order multi‐agent systems has been studied recently. In this article, we further focus on the same problem for high‐order multi‐agent systems subject to parametric uncertainties and aim at distributed robust controllers by measurement output...

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Veröffentlicht in:International journal of robust and nonlinear control Jg. 32; H. 4; S. 2084 - 2099
Hauptverfasser: Tang, Yutao, Zhu, Kui
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bognor Regis Wiley Subscription Services, Inc 10.03.2022
Schlagworte:
Compensators
Derivatives
embedded control
Graph theory
integral control
Integrals
optimal consensus
Output feedback
Robust control
uncertainties
ISSN:1049-8923, 1099-1239
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Zusammenfassung:The distributed optimal output consensus problem for high‐order multi‐agent systems has been studied recently. In this article, we further focus on the same problem for high‐order multi‐agent systems subject to parametric uncertainties and aim at distributed robust controllers by measurement output feedback. We first develop a dynamic compensator to estimate the expected optimal consensus point and convert the problem into several decentralized robust tracking problems. Then, by combining the integral control technique and dirty derivative observer technique, we constructively propose a distributed output feedback integral controller to solve this problem under a mild graph connectivity condition.
Bibliographie:Funding information
National Natural Science Foundation of China, 61973043
ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1049-8923
1099-1239
DOI:10.1002/rnc.5928