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Here, the congestion dynamics are investigated for a class of networks that has experienced a resurgence of interest, the networks based on the gravity model.
Two kinds of general algebraic connectivity are introduced to respectively investigate the global consensus in strongly connected networks and a class of networks containing directed spanning trees.
In the special case of Bayesian networks constructed using expert knowledge, we provide an exact algorithm to compare classes based on our updating rule, which has linear-time complexity for a class of networks wider than polytrees.
This paper examines a class of networks in which the node signals, assumed measurable, are connected by linear time-invariant transfer functions, and in which a noise signal and/or a known excitation signal may or may not be present at each node.
Multi-layer perceptron is a class of networks, which consists of multiple layers with computational units.
In contrast to a deterministic approach, a probabilistic mechanism allows for an identification of the structure of a class of networks on the basis of appropriate statistical quantities.
Similar(47)
This study investigates decentralized fuzzy H∞ filtering for a class of network-based interconnected systems.
The H∞ filtering problem is studied for a class of network-based systems with random delay in discrete-time domain.
The H∞ filtering problem is studied for a class of network-based systems with random network-induced delays in discrete-time domain.
This paper deals with adaptive consensus output regulation of a class of network-connected nonlinear systems with completely unknown parameters, including the high frequency gains of the subsystems.
This paper deals with consensus control in leader follower format of a class of network-connected uncertain nonlinear systems by output feedback.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com