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Daniel Peterson 2015 ISC Symposum Abstract
Resilient Control of Linear Time Invariant Networked Multiagent Systems
Abstract
Multiagent control algorithms are generally computed distributively without a central gateway node to
monitor for exogenous disturbances, which can lead to network instabilities and failure to achieve
system level goals. In this paper, we study a local state emulator-based adaptive control algorithm for
multiagent systems where agents have general linear time invariant dynamics. In particular, we present
a distributed adaptive control architecture for directed graph topologies where agents achieve system
level goals in the presence of time-varying disturbances. Apart from existing relevant literature that
makes specific assumptions on network topologies, agents dynamics, and/or the fraction of agents
subjected to exogenous disturbances, we demonstrate that the considered class of disturbances can be
mitigated by the proposed approach even when all agents are subjected to exogenous disturbances. We
demonstrate the efficacy of our approach through a numerical example.