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• W1571072238 abstract "Efforts in this paper seek to develop a new method to monitor for undesirable performance in the general leaderfollower network structure of autonomous agents. Concepts from optimal control and adaptive dynamic programming (ADP) are used to develop a novel metric which networked agents with uncertain nonlinear dynamics use to monitor each other with decentralized communication. The developed approach uses a data-driven concurrent learning-based policy to identify agent dynamics and functions used to characterize optimality conditions, which are then used to check for compliance with specified performance criteria." @default.
• W1571072238 created "2016-06-24" @default.
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• W1571072238 date "2015-07-01" @default.
• W1571072238 modified "2023-09-26" @default.
• W1571072238 title "Decentralized monitoring of leader-follower networks of uncertain nonlinear systems" @default.
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• W1571072238 doi "https://doi.org/10.1109/acc.2015.7170928" @default.
• W1571072238 hasPublicationYear "2015" @default.
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