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• W2886902496 abstract "Due to advances in embedded computational resources over the last several years, a considerable research effort has been devoted to the control of networks and control over networks. Network systems involve distributed decision-making for coordination of networks of dynamic agents and address a broad area of applications including cooperative control of unmanned air vehicles, microsatellite clusters, mobile robotics, battle space management, and congestion control in communication networks. In this paper, we develop a conservation-based framework for addressing almost sure consensus problems for nonlinear stochastic multiagent dynamical systems with fixed communication topologies. Specifically, we present a distributed nonlinear controller architectures for multiagent coordination over networks with state-dependent stochastic communication uncertainty. The proposed controller architecture involves the exchange of generalized charge or energy between agents guaranteeing that the closed-loop dynamical network is stochastically semistable to an equipartitioned equilibrium representing a state of almost sure consensus consistent with basic thermodynamic principles." @default.
• W2886902496 created "2018-08-22" @default.
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• W2886902496 date "2018-06-01" @default.
• W2886902496 modified "2023-09-25" @default.
• W2886902496 title "A Conservation-Based Distributed Control Architecture for Network Consensus with Stochastic Communication Uncertainty" @default.
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• W2886902496 doi "https://doi.org/10.23919/acc.2018.8431509" @default.
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