Stability margin of undirected homogeneous relative sensing networks: A geometric perspective
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초록

In this paper, we study the stability margin (SM) of undirected homogeneous relative sensing networks (UH-RSNs) from a geometric point of view. SM is an important robustness measure indicating the amount of simultaneous gain and phase perturbations in the feedback channels before the instability occurs. A UH-RSN is characterized by the identical local dynamics (a single-input-single-output (SISO) open-loop transfer function T-loc(s)) of individual agent and the graph Laplacian L-g representing how the agents are connected. It is shown in this paper that UH-RSNs having multiple inputs and outputs in general may be represented as a unity feedback system including the SISO T-loc(s) and one of the real eigenvalues of L-g. This representation then helps to identify a class of cooperative T-loc(s) for which (1) SM becomes maximized or equal to 1 when the network's connectivity (the second smallest eigenvalue of L-g is greater than or equal to the curvature of the Nyquist plot of T-loc(s) at the origin; and (2) two bounds on SM are obtained for the SM estimation based on the geometric shape of Nyquist plot. Also, the representation of unity feedback system implies that UH-RSNs with non-cooperative T-loc(s) become unstable when the agents are joined with high connectivity. Numerical examples are provided to demonstrate these findings. (C) 2021 Elsevier B.V. All rights reserved.

키워드

Stability marginRelative sensing networkLaplacian matrixNyquist plotCurvatureMULTIAGENT SYSTEMSDELAY MARGINCONSENSUSFEEDBACKSYNCHRONIZATIONDESIGN
제목
Stability margin of undirected homogeneous relative sensing networks: A geometric perspective
저자
Hamdipoor, VahidMoon, JunKim, Yoonsoo
DOI
10.1016/j.sysconle.2021.105027
발행일
2021-10
유형
Article
저널명
Systems and Control Letters
156