E-Book, Englisch, 475 Seiten, eBook
Schöll / Klapp / Hövel Control of Self-Organizing Nonlinear Systems
1. Auflage 2016
ISBN: 978-3-319-28028-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 475 Seiten, eBook
Reihe: Understanding Complex Systems
ISBN: 978-3-319-28028-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
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Research
Autoren/Hrsg.
Weitere Infos & Material
Controlling chimera patterns in networks: Interplay of structure, noise, and delay.- Emergence of clusters of locked and whirling oscillators in the Kuramoto model with Inertia.- Control of synchronization in delay-coupled networks.- Controlling oscillations in nonlinear systems with delayed output feedback.- Global effects of delayed feedback control applied to the Lorenz system.- Spatio-temporal patterns: observation, control, and design.- On the interplay of noise and delay in coupled oscillators.- Noisy dynamical systems with time delay: some basic analytical perturbation schemes with applications.- Study on critical conditions and transient behaviors in noise-induced bifurcation.- Analytical, optimal and sparse optimal control of the FitzHugh-Nagumo and Schlögl model.- Recent advances in reaction-diffusion equations with non-ideal relays.- Deriving effective models for multiscale systems via evolutionary Gamma convergence.- Moment closure - A brief review.- Feedback control inquantum transport.- Controlling the stability of steady states in continuous variable quantum systems.- Quantum signatures of chimera states.- Controlled switching between time-periodic square-waves in photonic devices.- Exploiting multistabilities to achieve stable chimera states in all-to-all coupled laser networks.- Feedback control of colloidal transport.- Swarming of self-propelled particles on the surface of a dewetting liquid film.- Time-delayed feedback control of spatio-temporal self-organized patterns in dissipative systems.- Control of epidemics on hospital network.- Intrinsic control mechanisms of neuronal network dynamics.- Oscillations and intrinsic uctuations in evolutionary dynamics: how payoffs, dynamics and population sizes control the stability, and implementation of global feedback.