213 research outputs found

    Loss of coherence in dynamical networks: spatial chaos and chimera states

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    We discuss the breakdown of spatial coherence in networks of coupled oscillators with nonlocal interaction. By systematically analyzing the dependence of the spatio-temporal dynamics on the range and strength of coupling, we uncover a dynamical bifurcation scenario for the coherence-incoherence transition which starts with the appearance of narrow layers of incoherence occupying eventually the whole space. Our findings for coupled chaotic and periodic maps as well as for time-continuous R\"ossler systems reveal that intermediate, partially coherent states represent characteristic spatio-temporal patterns at the transition from coherence to incoherence.Comment: 4 pages, 4 figure

    НСкоторыС вопросы взаимодСйствия случайных Π½Π΅ΠΊΠΎΡ€Ρ€Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… ΠΏΠΎΠΌΠ΅Ρ… ΠΈ сигнала Π² систСмС ΠΏΠ΅Ρ€Π΅Π΄Π°Ρ‡ΠΈ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ

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    Показано, Ρ‰ΠΎ для ΠΎΡ†Ρ–Π½ΠΊΠΈ Π²Π·Π°Ρ”ΠΌΠΎΠ΄Ρ–Ρ— сигналу Π· ΠΏΠ΅Ρ€Π΅ΡˆΠΊΠΎΠ΄Π°ΠΌΠΈ систСму ΠΌΠΎΠΆΠ½Π° уявити Π² вигляді Π΅ΠΊΠ²Ρ–Π²Π°Π»Π΅Π½Ρ‚Π½ΠΎΡ— схСми Π· Π΄ΠΆΠ΅Ρ€Π΅Π»ΠΎΠΌ сигналу Ρ– каскадно Π²ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠΌΠΈ ΠΊΠΎΠ»Π°ΠΌΠΈ навантаТСння, конфігурація якої Π·Π°Π»Π΅ΠΆΠΈΡ‚ΡŒ Π²Ρ–Π΄ характСристик сигналу Ρ– ΠΏΠ΅Ρ€Π΅ΡˆΠΊΠΎΠ΄ Ρ‚Π° Ρ—Ρ… Π²Π·Π°Ρ”ΠΌΠΎΠ΄Ρ–Ρ—: Π°Π΄ΠΈΡ‚ΠΈΠ²Π½ΠΎΡ—, ΠΌΡƒΠ»ΡŒΡ‚ΠΈΠΏΠ»Ρ–ΠΊΠ°Ρ‚ΠΈΠ²Π½ΠΎΡ— Π°Π±ΠΎ Π·ΠΌΡ–ΡˆΠ°Π½ΠΎΡ—. ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½Ρƒ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΡƒ ΠΌΠΎΠΆΠ½Π° використати для Π°Π½Π°Π»Ρ–Π·Ρƒ Π²ΠΏΠ»ΠΈΠ²Ρƒ Π²ΠΈΠΏΠ°Π΄ΠΊΠΎΠ²ΠΎΡ— ΠΏΠΎΡ…ΠΈΠ±ΠΊΠΈ Π²ΠΈΠΌΡ–Ρ€ΡŽΠ²Π°Π½Π½Ρ.It is shown that for estimation of the interaction of the signal with hindrance system possible to present in the manner of equivalent scheme with the source of the signal and cascade included chain of the load, which deskside depends on features of the signal and hindrances, as well as their interactions: additive, multiplicative or mixed. The methods possible to use for analysis of the influence to casual inaccuracy of the measurement are broughted.Показано, Ρ‡Ρ‚ΠΎ для ΠΎΡ†Π΅Π½ΠΊΠΈ взаимодСйствия сигнала с ΠΏΠΎΠΌΠ΅Ρ…ΠΎΠΉ систСму ΠΌΠΎΠΆΠ½ΠΎ ΠΏΡ€Π΅Π΄ΡΡ‚Π°Π²ΠΈΡ‚ΡŒ Π² Π²ΠΈΠ΄Π΅ эквивалСнтной схСмы с источником сигнала ΠΈ каскадно Π²ΠΊΠ»ΡŽΡ‡Π΅Π½Π½Ρ‹ΠΌΠΈ цСпями Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠΈ, конфигурация ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΉ зависит ΠΎΡ‚ характСристик сигнала ΠΈ ΠΏΠΎΠΌΠ΅Ρ…, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΈΡ… взаимодСйствия: Π°Π΄Π΄ΠΈΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ, ΠΌΡƒΠ»ΡŒΡ‚ΠΈΠΏΠ»ΠΈΠΊΠ°Ρ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΈΠ»ΠΈ смСшанного. ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½Π½ΡƒΡŽ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΡƒ ΠΌΠΎΠΆΠ½ΠΎ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ для Π°Π½Π°Π»ΠΈΠ·Π° влияния случайной ΠΏΠΎΠ³Ρ€Π΅ΡˆΠ½ΠΎΡΡ‚ΠΈ измСрСния

    Base system development results of virtual electric-machine laboratory

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    Electric-machine virtual laboratory base system is the set of virtual laboratories where fundamental experiments with all base types of electric machines (transformers, direct current electric machines and asynchronous alternative current machines) could be produced. Virtual laboratory is developed based on modified classical mathematical models of electric machines and technology of virtual realit

    APPLICATION OF UKRAINIAN GRID INFRASTRUCTURE FOR INVESTIGATION OF NONLINEAR DYNAMICS IN LARGE NEURONAL NETWORKS

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    Β  Β  Β In present work the UkrainianΒ National Grid (UNG) infrastructure was appliedΒ for investigation of synchronization in large networksΒ of interacting neurons. This applicationΒ is important for solving of modern neuroscienceΒ problems related to mechanisms of nervous systemΒ activities (memory, cognition etc.) and nervousΒ pathologies (epilepsy, Parkinsonism, etc.). ModernΒ non-linear dynamics theories and applicationsΒ provides powerful basis for computer simulationsΒ of biological neuronal networks and investigationΒ of phenomena which mechanisms hardly could beΒ clarified by other approaches. Cubic millimeter ofΒ brain tissue contains about 105 neurons, so realisticΒ (Hodgkin-Huxley model) and phenomenologicalΒ (Kuramoto-Sakaguchi, FitzHugh-Nagumo, etc.Β models) simulations require consideration of largeΒ neurons numbers
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