The scope of the journal includes:    -Nonlinear dynamics and control  -Complexity and self-organization  -Control of oscillations  -Control of chaos and bifurcations  -Control in thermodynamics  -Control of flows and turbulence  -Information Physics  -Cyber-physical systems  -Modeling and identification of physical systems  -Quantum information and control  -Analysis and control of complex networks  -Synchronization of systems and networks  -Control of mechanical and micromechanical systems  -Dynamics and control of plasma, beams, lasers, nanostructures  -Applications of cybernetic methods in chemistry, biology, other natural sciences    The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.

The journal "Cybernetics and Physics" covers a wide range of topics, including nonlinear dynamics and control, complexity and self-organization, control of oscillations, chaos and bifurcation control, thermodynamic control, control of flows and turbulence, information physics, cyber-physical systems, modeling and identification of physical systems, quantum information and control, analysis and control of complex networks, synchronization of systems and networks, control of mechanical and micromechanical systems, dynamics and control of plasma, beams, lasers, and nanostructures, as well as applications of cybernetic methods in chemistry, biology, and other natural sciences. We welcome papers that have a cybernetic flavor in physics and those that have a physical flavor in cybernetics. Cybernetics is understood to encompass not only control but also areas such as estimation, filtering, optimization, identification, information theory, pattern recognition, and other related fields.

《Cybernetics and Physics》期刊的范围包括：非线性动力学与控制、复杂性与自组织、振荡控制、混沌与分岔控制、热力学控制、流动与湍流控制、信息物理学、网络物理系统、物理系统的建模与识别、量子信息与控制、复杂网络的分析与控制、系统与网络的同步、机械与微机械系统的控制、等离子体、束流、激光、纳米结构的动力学与控制，以及在化学、生物学和其他自然科学中应用控制论方法。我们欢迎具有控制论特征的物理学论文以及具有物理学特征的控制论论文。控制论不仅包括控制，还涵盖估计、滤波、优化、识别、信息理论、模式识别及其他相关领域。

Cybernetics and Physics

In this paper, we explore numerically the impact of different types of inter-layer coupling on the dynamics of a two-layer multiplex network of coupled FitzHugh–Nagumo oscillators in the excitable regime. For this purpose, the cases of attractive, repulsive, and periodically modulated inter-layer coupling are considered. Coupled in the ring structure, the FitzHugh–Nagumo neurons demonstrate travelling wave regimes which are different for the attractive and repulsive intra-layer coupling. It is shown that the inter-layer coupling affects not only the frequency of oscillations of individual neurons but also the spatio-temporal structures in individual layers in different ways, depending on the sign of the inter-layer coupling. It is established that complete in-phase synchronization of travelling waves is well achieved in the presence of attractive inter-layer coupling, while the repulsive inter-layer coupling induces effective anti-phase synchronization of wave regimes. When the inter-layer coupling is periodically modulated, the wave structures in both layers are distorted, and clusters of coherent and incoherent dynamics can appear in the ring space. The paper was presented at PhysCon2024.

Andrei V. Bukh

Nataliya N. Nikishina

Eugene M. Elizarov

Galina I. Strelkova

Interaction of travelling waves in multilayer networks

多层网络中行波的相互作用

The article explores the concept of managing coupled buildings under seismic excitation. Connecting two closely spaced structures enables the redistribution of energy and reduction of structural responses. To minimize the resulting damage, the use of smart control is proposed. Smart control operates using feedback, allowing the system to adapt in real-time. To solve the problem of finding an optimal control, the paper suggests considering it within the framework of multicriteria optimization problems, with the criteria being the maximum deformation of each building described using the generalized H 2 -norm. The article presents a method for solving multicriteria problems using linear matrix inequalities (LMIs) and Hermeyer convolution. Detailed examples are provided for a system of two coupled buildings. The results of computing the optimal smart control for systems of varying dimensions, as well as the outcomes of modeling using real earthquake data, are presented MATLAB software, utilizing the SDPT3 and YALMIP libraries, is employed for performing the calculations and visualizing the results.

Polina Tkachenko

Dmitry Balandin

Optimal control of coupled buildings under seismic excitation

地震激励下耦合建筑的最优控制

The statistics of interspike intervals is one of the principle characteristics of the synaptic activity of neurons. This statistics can be presented with the values of the moments of these intervals. For the integrate-and-fire type models, the formalism of first passage time provides partial differential equations for a rigorous calculation of these values for neurons subject to a white Gaussian noise. However, the procedure of derivation of these equations is quite sophisticated and the results for Gaussian noise are not as trivial as they can appear if one does not look at the rigorous derivation procedure. The derivation of analogous partial differential equations for the case of alpha-stable (Lévy) noise is even more involved. In this paper, the equations providing moments of interspike intervals are derived for quadratic integrate-and-fire neurons subject to symmetric alphastable noise. The results are presumably generalizable to other integrate-and-fire type models (e.g., leakage ones). The paper was presented at the 11th International Scientific Conference on Physics and Control (PhysCon 2024), September 9–12, 2024, Istanbul, Turkey.

Denis S. Goldobin

Interspike interval statistics for quadratic integrate-and-fire neurons subject to alpha-stable noise

二次积分点火神经元在α稳定噪声下的脉冲间隔统计

The development of a robust tracking controller for autonomous aerial vehicles to reach the desired point has become extremely important, especially when flying in the ground region. This paper proposes a hybrid controller (proportional fractional-order integral derivative sliding surface based on sliding mode control with backstepping (PFOIDSMCBS)) to control the quadcopter to flow the predefined trajectory. The proposed controller is designed to control the attitude, altitude, and angular motion with payload in the presence of external disturbances, wind, and ground effects. The performances of the proposed controller have been compared with the existing SMCBS controller. The simulation results show that the system satisfies the stability condition and is efficient in path tracking. As the vehicle approaches the ground, the simulation indicates a consistent linear increase in the total thrust generated by the rotors. In the landing, the proposed controller reduces settling time by 6.12% compared to SMCBS for the system without load. With a load, it reduces settling time by 5.17% compared to SMCBS. PFOIDSMCBS controller exhibits superior performance over SMCBS in terms of minimizing chattering effects and reducing control effort.

Sanjay Kumar

Lillie Dewan

Trajectory tracking controller design for quadcopter under disturbances environment: using a hybrid approach

扰动环境下四旋翼飞行器轨迹跟踪控制器设计：采用混合方法

Ultrasensitive quantum detection of external weak signals at the nanoscale levels can be implemented in a variety of forms. Here we discuss different feedback control algorithms for the sensing scenario based on the semiclassical Tavis-Cummings model for nitrogen-vacancy (NV) centers located in the diamond. In the frame of this model, the sensing elements are considered as non-interacting two-level quantum systems, distribute in-homogeneously due to heterogeneous local magnetic and strain environments. The dynamical system of ordinary differential equations corresponding to the model contains the set of control parameters: the detunings between the drive frequency and the cavity frequency and between the drive frequency and NV transition frequency, as well as the relaxation coefficients. Correspondingly, it opens a gate for developing feedback control algorithms for tracking the cavity field, the income signal, and the reflection signal in the model sensing system. To study the principal features of algorithmic feedback we formulate the simplified ’toy model’ for the Tavis-Cummings system and investigate alternative schemes of feedback (gradient methods, target attractor methods) to compare their pros and cons for effective control for nitrogen-vacancy-cavity quantum sensing based on different choices of the control parameter set. This work was supported by the Research Fund of Abdullah Gül University; Project Number: BAP FBA-2023-176 ’Geribesleme kontrol algoritmaları ile kubit tabanlı sensörlerin verimliliğinin artırılması’. The paper was presented at PhysCon2024.

ISSN	2223-7038, 2226-4116
h-index	12

Publication Information	Publisher: Institute of Problems of Mechanical Engineering, Russian Academy of Sciences，Publishing cycle: ，Journal Type: journal，Open Access Journals: Yes
Basic data	Year of publication: 2016，Proportion of original research papers: 0.00%，Self Citation Rate:N.A.， Gold OA Rate: 0.00%
Average review cycle	网友分享经验：10 Weeks

Cybernetics and Physics

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Interaction of travelling waves in multilayer networks

Optimal control of coupled buildings under seismic excitation

Interspike interval statistics for quadratic integrate-and-fire neurons subject to alpha-stable noise

Trajectory tracking controller design for quadcopter under disturbances environment: using a hybrid approach

On feedback control algorithms for nitrogen-vacancy-cavity quantum sensing

Interaction of travelling waves in multilayer networks

Optimal control of coupled buildings under seismic excitation

Interspike interval statistics for quadratic integrate-and-fire neurons subject to alpha-stable noise

Trajectory tracking controller design for quadcopter under disturbances environment: using a hybrid approach

On feedback control algorithms for nitrogen-vacancy-cavity quantum sensing