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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Bibliographic Details
Published in:International journal of robust and nonlinear control Vol. 32; no. 4; pp. 2084 - 2099
Main Authors: Tang, Yutao, Zhu, Kui
Format: Journal Article
Language:English
Published: Bognor Regis Wiley Subscription Services, Inc 10.03.2022
Subjects:
Compensators
Derivatives
embedded control
Graph theory
integral control
Integrals
optimal consensus
Output feedback
Robust control
uncertainties
ISSN:1049-8923, 1099-1239
Online Access:Get full text
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Summary: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.
Bibliography:Funding information
National Natural Science Foundation of China, 61973043
ObjectType-Article-1
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ISSN:1049-8923
1099-1239
DOI:10.1002/rnc.5928