Scaled consensus and reference tracking in multiagent networks with constraints

Shang, Yilun (2022) Scaled consensus and reference tracking in multiagent networks with constraints. IEEE Transactions on Network Science and Engineering, 9 (3). pp. 1620-1629. ISSN 2334-329X

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This paper considers the scaled consensus problem for networks of groups of agents having state constraints. We first address the problem by using a gradient projection approach and design distributed consensus protocols that implement state restriction and steer agents asymptotically to proportions in terms of pre-assigned scales. We then extend the method to multiagent systems with static reference values. We propose and analyze sufficient conditions on agent dynamics such that scaled reference tracking problem is solved. The results are applied to a ship steering system and numerical examples to verify the effectiveness of the proposed cooperative coordination system scheme.

Item Type: Article
Uncontrolled Keywords: scaled consensus, complex network, tracking, constraint, cooperative system
Subjects: G500 Information Systems
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 24 Feb 2022 12:20
Last Modified: 27 May 2022 11:00

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