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• W2776280462 abstract "We consider the leader selection problem in a network with consensus dynamics where both leader and follower agents are subject to stochastic external disturbances. The performance of the system is quantified by the total steady-state variance of the node states, and the goal is to identify the set of leaders that minimizes this variance. We first show that this performance measure can be expressed as a submodular set function over the nodes in the network. We then use this result to analyze the performance of two greedy, polynomial-time algorithms for leader selection, showing that the leader sets produced by the greedy algorithms are within provable bounds of optimal." @default.
• W2776280462 created "2018-01-05" @default.
• W2776280462 creator A5010500267 @default.
• W2776280462 creator A5081738999 @default.
• W2776280462 date "2017-12-21" @default.
• W2776280462 modified "2023-09-27" @default.
• W2776280462 title "Submodular Optimization for Consensus Networks with Noise-Corrupted Leaders" @default.
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• W2776280462 hasPublicationYear "2017" @default.
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