Titlebook: Consensus and Synchronization in Complex Networks; Ljupco Kocarev Book 2013 Springer-Verlag Berlin Heidelberg 2013 Consensus in distribute

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https://doi.org/10.1007/978-1-4302-0794-8rithms. Theoretical results regarding consensus-seeking under dynamically changing communication topologies and communication time delays are summarized. Consensus algorithms for double-integrator dynamics are described in the context of cooperative control of multivehicle systems.

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1860-0832 the field.Suitable as introduction to nonspecialists.IncludeIn this book for the first time two scientific fields - consensus formation and synchronization of communications - are presented together and examined through their interrelational aspects, of rapidly growing importance. Both fields have i

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User Interface Design for Programmersf the system variables are considered. We demonstrate how to apply the method for estimating the topology of a network of chaotic oscillators. Finally, we illustrate its application to estimating parameters of spatially extended systems that possess translational symmetry with a toy atmospheric model.

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Governance and Portfolio Management,this chapter we review and discuss several supermodeling dynamics and learning mechanisms. Methods are illustrated by applications to low-dimensional chaotic systems: the three-dimensional Lorenz 63 and Lorenz 84 models, as well as a 30-dimensional two-layer atmospheric model.

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Synchronization-Based Parameter Estimation in Chaotic Dynamical Systems,f the system variables are considered. We demonstrate how to apply the method for estimating the topology of a network of chaotic oscillators. Finally, we illustrate its application to estimating parameters of spatially extended systems that possess translational symmetry with a toy atmospheric model.

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Supermodeling Dynamics and Learning Mechanisms,this chapter we review and discuss several supermodeling dynamics and learning mechanisms. Methods are illustrated by applications to low-dimensional chaotic systems: the three-dimensional Lorenz 63 and Lorenz 84 models, as well as a 30-dimensional two-layer atmospheric model.

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Book 2013d through their interrelational aspects, of rapidly growing importance. Both fields have indeed attracted enormous research interest especially in relation to complex networks. .    .In networks of dynamic systems (or agents), consensus means to reach an agreement regarding a certain quantity of int