Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143931
Title: Robust consensus of uncertain linear multi-agent systems via dynamic output feedback
Authors: Li, Xianwei
Soh, Yeng Chai
Xie, Lihua
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Li, X., Soh, Y. C., & Xie, L. (2018). Robust consensus of uncertain linear multi-agent systems via dynamic output feedback. Automatica, 98, 114-123. doi:10.1016/j.automatica.2018.09.020
Journal: Automatica
Abstract: This paper systematically deals with robust consensus of uncertain linear multi-agent systems via dynamic output-feedback protocols. Agents are assumed to have identical nominal linear time-invariant dynamics but are subject to heterogeneous additive stable perturbations. Dynamic output-feedback protocols with or without controller state information exchange between neighboring controllers are studied in a unified framework. Two methods are proposed for protocol design, which need to solve an algebraic Riccati equation and some scalar/matrix inequalities. The first method characterizes some key parameters by scalar inequalities related to the nonzero eigenvalues of the Laplacian, which requires the diagonalizability of the Laplacian, while the second method characterizes the parameters by linear matrix inequalities, which circumvents the requirement of the diagonalizability of the Laplacian. Compared with existing results, the proposed approach can simultaneously cope with heterogeneous uncertainties and directed communication graphs. Numerical results verify the advantages of the proposed design methods.
URI: https://hdl.handle.net/10356/143931
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2018.09.020
Rights: © 2018 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

SCOPUSTM   
Citations 10

36
Updated on Jan 29, 2023

Web of ScienceTM
Citations 10

31
Updated on Jan 22, 2023

Page view(s)

213
Updated on Jan 29, 2023

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.