17 research outputs found
Time-delay control for stabilization of the Shapovalov mid-size firm model
Control and stabilization of irregular and unstable behavior of dynamic systems (including chaotic processes) are interdisciplinary problems of interest to a variety of scientific fields and applications. Using the control methods allows improvements in forecasting the dynamics of unstable economic processes and offers opportunities for governments, central banks, and other policy makers to modify the behaviour of the economic system to achieve its best performance. One effective method for control of chaos and computation of unstable periodic orbits (UPOs) is the unstable delay feedback control (UDFC) approach, suggested by K. Pyragas. This paper proposes the application of the Pyragasβ method within framework of economic models. We consider this method through the example of the Shapovalov model, by describing the dynamics of a mid-size firm. The results demonstrate that suppressing chaos is capable in the Shapovalov model, using the UDFC method
Microwave generation in synchronized semiconductor superlattices
We study high-frequency generation in a system of electromagnetically coupled semiconductor superlattices fabricated on the same doped substrate. Applying a bias voltage to a single superlattice generates high-frequency current oscillations. We demonstrate that within a certain range of the applied voltage, the current oscillations within the superlattices can be self-synchronized, which leads to a dramatic rise in the generated microwave power. These results, which are in good agreement with our numerical model, open a promising practical route towards the design of high-power miniature microwave generators
Multistable Pulse-like Solutions in a Parametrically Driven Ginzburg-Landau Equation
It is well known that pulse-like solutions of the cubic complex
Ginzburg-Landau equation are unstable but can be stabilised by the addition of
quintic terms. In this paper we explore an alternative mechanism where the role
of the stabilising agent is played by the parametric driver. Our analysis is
based on the numerical continuation of solutions in one of the parameters of
the Ginzburg-Landau equation (the diffusion coefficient ), starting from the
nonlinear Schr\"odinger limit (for which ). The continuation generates,
recursively, a sequence of coexisting stable solutions with increasing number
of humps. The sequence "converges" to a long pulse which can be interpreted as
a bound state of two fronts with opposite polarities.Comment: 13 pages, 6 figures; to appear in PR
Anisotropic Subdiffractive Solitons
We study solitons in the two-dimensional defocusing nonlinear Schroedinger
equation with the spatio-temporal modulation of the external potential. The
spatial modulation is due to a square lattice; the resulting macroscopic
diffraction is rotationally symmetric in the long-wavelength limit but becomes
anisotropic for shorter wavelengths. Anisotropic solitons -- solitons with the
square (x,y)-geometry -- are obtained both in the original nonlinear
Schroedinger model and in its averaged amplitude equation
Travelling solitons in the parametrically driven nonlinear Schroedinger equation
We show that the parametrically driven nonlinear Schroedinger equation has
wide classes of travelling soliton solutions, some of which are stable. For
small driving strengths nonpropogating and moving solitons co-exist while
strongly forced solitons can only be stably when moving sufficiently fast.Comment: The paper is available as the JINR preprint E17-2000-147(Dubna,
Russia) and the preprint of the Max-Planck Institute for the Complex Systems
mpipks/0009011, Dresden, Germany. It was submitted to Physical Review
Time-delay control for stabilization of the Shapovalov mid-size firm model
Control and stabilization of irregular and unstable behavior of dynamic systems (including chaotic processes) are interdisciplinary problems of interest to a variety of scientific fields and applications. Using the control methods allows improvements in forecasting the dynamics of unstable economic processes and offers opportunities for governments, central banks, and other policy makers to modify the behaviour of the economic system to achieve its best performance. One effective method for control of chaos and computation of unstable periodic orbits (UPOs) is the unstable delay feedback control (UDFC) approach, suggested by K. Pyragas. This paper proposes the application of the Pyragasβ method within framework of economic models. We consider this method through the example of the Shapovalov model, by describing the dynamics of a mid-size firm. The results demonstrate that suppressing chaos is capable in the Shapovalov model, using the UDFC method.peerReviewe
ΠΠΎΠΌΠΏΡΡΡΠ΅ΡΠΈΠ·Π°ΡΠΈΡ ΠΊΠ°ΠΊ ΡΠ°ΠΊΡΠΎΡ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π½ΠΎΠ²ΠΎΠΉ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ ΡΠΈΡΡΠΎΠ²ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ
The article describes the possibilities of digital devices and resources of the Internet space, allowing to make the educational process accessible, effective, maximally focused on the educational needs of students, Autonomous, individually routed. The article focuses on the technologies that accompany the process of digitalization of education, the principles on which the new pedagogical concept is based, didactic and methodological tools that allow to optimize didactic methods based on the principles of reflection, the development of critical thinking, autonomy, mobility, multilevel.Π ΡΡΠ°ΡΡΠ΅ ΠΈΠ·Π»Π°Π³Π°ΡΡΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΡΠΈΡΡΠΎΠ²ΡΡ
ΡΡΡΡΠΎΠΉΡΡΠ² ΠΈ ΡΠ΅ΡΡΡΡΠ½ΡΡ
ΡΡΠ΅Π΄ΡΡΠ² ΠΈΠ½ΡΠ΅ΡΠ½Π΅Ρ-ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π°, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΡ
ΡΠ΄Π΅Π»Π°ΡΡ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΡΠΉ ΠΏΡΠΎΡΠ΅ΡΡ Π±ΠΎΠ»Π΅Π΅ Π΄ΠΎΡΡΡΠΏΠ½ΡΠΌ ΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌ, ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎ ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌ Π½Π° ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΡΠ΅ ΠΏΠΎΡΡΠ΅Π±Π½ΠΎΡΡΠΈ ΠΎΠ±ΡΡΠ°ΡΡΠΈΡ
ΡΡ, Π°Π²ΡΠΎΠ½ΠΎΠΌΠ½ΡΠΌ, ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΠΎ ΠΌΠ°ΡΡΡΡΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌ. Π ΡΡΠ°ΡΡΠ΅ ΡΠ΄Π΅Π»Π΅Π½ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠΌ, ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π°ΡΡΠΈΠΌ ΠΏΡΠΎΡΠ΅ΡΡ ΡΠΈΡΡΠΎΠ²ΠΈΠ·Π°ΡΠΈΠΈ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ, ΠΏΡΠΈΠ½ΡΠΈΠΏΠ°ΠΌ, Π½Π° ΠΊΠΎΡΠΎΡΡΡ
ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°Π΅ΡΡΡ Π½ΠΎΠ²Π°Ρ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΡ, Π΄ΠΈΠ΄Π°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠΌΡ ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΌΡ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΡ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠ΅ΠΌΡ ΠΎΠΏΡΠΈΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ Π΄ΠΈΠ΄Π°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΡΠΈΠ½ΡΠΈΠΏΠΎΠ² ΡΠ΅ΡΠ»Π΅ΠΊΡΠΈΠΈ, ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΊΡΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΡΡΠ»Π΅Π½ΠΈΡ, Π°Π²ΡΠΎΠ½ΠΎΠΌΠ½ΠΎΡΡΠΈ, ΠΌΠΎΠ±ΠΈΠ»ΡΠ½ΠΎΡΡΠΈ, ΠΌΠ½ΠΎΠ³ΠΎΡΡΠΎΠ²Π½Π΅Π²ΠΎΡΡΠΈ