2022
DOI: 10.1109/lcsys.2022.3185981
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Switching Transformations for Decentralized Control of Opinion Patterns in Signed Networks: Application to Dynamic Task Allocation

Abstract: We propose a new decentralized design to control opinion patterns on signed networks of agents making decisions about two options and to switch the network from any opinion pattern to a new desired one. Our method relies on switching transformations, which switch the sign of an agent's opinion at a stable equilibrium by flipping the sign of the interactions with its neighbors. The global dynamical behavior of the switched network can be predicted rigorously when the original, and thus the switched, networks ar… Show more

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Cited by 7 publications
(3 citation statements)
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References 21 publications
(29 reference statements)
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“…If the opinion dynamics are monotone (67,95), then m = 1. Monotonicity can be guaranteed in the case of structurally balanced network interactions (96)(97)(98).…”
Section: Analytical Results On Nonlinear Opinion Dynamicsmentioning
confidence: 99%
See 1 more Smart Citation
“…If the opinion dynamics are monotone (67,95), then m = 1. Monotonicity can be guaranteed in the case of structurally balanced network interactions (96)(97)(98).…”
Section: Analytical Results On Nonlinear Opinion Dynamicsmentioning
confidence: 99%
“…Characterizations of both the pitchfork and Hopf bifurcations have appeared in various works (36,58,91,98,99,(101)(102)(103)(104)(105)(106)(107)(108)(109) with varying assumptions about the structure of the communication and belief system networks and damping coefficients. In the cases studied, the critical and sensitivity subspaces of the bifurcation coincide with eigenspaces of standard graph matrices-e.g., the graph Laplacian L (36,91,(101)(102)(103)(104)(105) or communication adjacency matrix A a (98, 99, 106-108)for two options and with the product of adjacency matrices of communication and belief system graphs A a ࣹ A o in the general case (58,(107)(108)(109).…”
Section: Analytical Results On Nonlinear Opinion Dynamicsmentioning
confidence: 99%
“…Opinion dynamics have been used to facilitate collective decision-making in robotic teams [17]- [19]. In the present paper, we use opinion dynamics to drive the social navigation of a robot interacting with a human.…”
Section: Introductionmentioning
confidence: 99%