Refined frequency estimates for stability domains of synchronization systems

Q3 Physics and Astronomy

Cybernetics and Physics Pub Date : 2022-09-30 DOI:10.35470/2226-4116-2022-11-2-106-114

V. Smirnova, A. Proskurnikov, Roman V. Titov

引用次数: 0

Abstract

n this paper we examine stability of Lur’e-type systems arising as a feedback superpositions of infinite-dimensional linear blocks, described by integrodifferential Volterra equations, and periodic nonlinearities. Such systems have multiple equilibria, so traditional methods of stability investigation, defined for systems with single equilibrium are no good here. In the paper traditional Popov method of a priori integral indices is combined with two special techniques: Leonov’s nonlocal reduction method and the Bakaev-Guzh procedure. As a result new frequency–algebraic stability criteria are established, yielding tightened estimates of stability domains in the space of the system’s parameters.

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同步系统稳定域的改进频率估计

本文研究了由积分微分Volterra方程和周期非线性描述的无限维线性块的反馈叠加引起的Lur’型系统的稳定性。这样的系统有多个平衡点，所以传统的稳定性研究方法，为单一平衡系统定义的，在这里是不适用的。本文将传统的先验积分指标波波夫方法与Leonov非局部约简方法和Bakaev-Guzh过程两种特殊技术相结合。结果，建立了新的频率-代数稳定性判据，得到了系统参数空间中稳定域的更紧估计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cybernetics and Physics Chemical Engineering-Fluid Flow and Transfer Processes

CiteScore

1.70

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： 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.