Results 201 to 210 of about 3,530,899 (245)
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Distributed Average Consensus in Digraphs
2014In this chapter, we address the average-consensus problem for a distributed system whose components (nodes) can exchange information via interconnections (links) that form an arbitrary, possibly directed, communication topology (digraph). Specifically, we discuss how the nodes can asymptotically obtain the average of their initial values by describing ...
Hadjicostis, Christoforos N. +3 more
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Average consensus on networks with quantized communication
International Journal of Robust and Nonlinear Control, 2008AbstractThis work presents a contribution to the solution of the average agreement problem on a network with quantized links. Starting from the well‐known linear diffusion algorithm, we propose a simple and effective adaptation that is able to preserve the average of states and to drive the system near to the consensus value, when a uniform ...
FRASCA P +3 more
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Privacy-preserving asymptotic average consensus
2013 European Control Conference (ECC), 2013In this paper, we develop and analyze a distributed privacy-preserving average consensus algorithm that enables all of the components of a distributed system, each with some initial value, to asymptotically reach average consensus on their initial values, without having to reveal the specific value they contribute to the average calculation.
Nicolaos E. Manitara +1 more
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Discrete average consensus with bounded noise
52nd IEEE Conference on Decision and Control, 2013This paper investigates the problem of discrete average consensus in the presence of bounded noise. Different from many existing works which mainly deal with noise with zero mean and bounded covariance, we consider the noise with bounded absolute value which is more practical in many applications.
Mengjie Zhou +3 more
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Communication constraints in the average consensus problem
Automatica, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ruggero Carli +3 more
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Confidentiality in distributed average information consensus
2016 IEEE 55th Conference on Decision and Control (CDC), 2016Cooperation of agents is imperative for information consensus in a network, but confidentiality issues might discourage certain agents from participating in the distributed consensus algorithms. This paper proposes a novel distributed average consensus algorithm which preserves the confidentiality of every cooperating agent's initial state value from ...
Nirupam Gupta, Nikhil Chopra
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Quantized Consensus and Averaging on Gossip Digraphs
IEEE Transactions on Automatic Control, 2011We study distributed consensus problems of multi-agent systems on directed networks and subject to quantized information flow. For the communication among component agents, particular attention is given to the gossip type, which models their asynchronous behavior; for quantization effect, each agent's state is abstracted to be an integer.
Kai Cai 0002, Hideaki Ishii
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Accurate Privacy Preserving Average Consensus
IEEE Transactions on Circuits and Systems II: Express Briefs, 2020Average consensus has significant applications in dynamic load balancing and cooperative control of vehicle formations, where all the agents receive information from neighboring agents via communication network and update their states to achieve an agreement.
Tianjiao Yin, Yuezu Lv, Wenwu Yu
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The quantization error in the average consensus problem
2008 16th Mediterranean Conference on Control and Automation, 2008This work studies how uniform quantization in communications affects the linear diffusion algorithm for average consensus problem. Starting from the well-known linear diffusion algorithm, we analyze a simple and effective adaptation which is able to preserve the average of states and to drive the system near to the consensus value.
CARLI, RUGGERO +3 more
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Gossip consensus and averaging algorithms with quantization
Proceedings of the 2010 American Control Conference, 2010We study distributed consensus problems of multi-agent systems on directed networks and subject to quantized information flow. For the communication among component agents, particular attention is given to the gossip type, which models their asynchronous behaviors; for quantization effects, each agent's state is abstracted to be an integer. The central
Kai Cai, Hideaki Ishii
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