Minimizing Convergence Error in Multi-Agent Systems Via Leader Selection: A Supermodular Optimization Approach

DOI10.1109/TAC.2014.2303236zbMath1360.91056arXiv1306.4949MaRDI QIDQ2983143

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Publication date: 16 May 2017

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1306.4949

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) Hierarchical games (including Stackelberg games) (91A65) Decentralized systems (93A14) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

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Minimum cost input/output design for large-scale linear structural systems ⋮ Topology selection for multi-agent systems with opposite leaders ⋮ Maximizing the smallest eigenvalue of a symmetric matrix: a submodular optimization approach ⋮ Leader selection in networks under switching topologies with antagonistic interactions ⋮ Nodes selection strategy in cooperative tracking problem ⋮ Key‐nodes selection problem for minimum cost control of directed networks ⋮ A first hitting time approach to finding effective spreaders in a network ⋮ Coordination of multi-agent systems under switching topologies via disturbance observer-based approach

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