{"title":"Delayed state-feedback control for synchronization of complex networks with coupling delays and impulsive disturbances","authors":"Youzhi Dong, Xiuping Han, Xiaodi Li","doi":"10.1016/j.cnsns.2025.108700","DOIUrl":null,"url":null,"abstract":"<div><div>This paper concentrates on the synchronization problem of complex networks subject to coupling delays and impulsive disturbances, employing delayed state-feedback control strategies. By constructing a Lyapunov–Krasovskii functional with two different exponential decay rates, the complex networks with impulsive disturbances can achieve globally exponential synchronization (GES). Furthermore, the derived synchronization norms establish a link between coupling delay and feedback delay. This paper considers the normal situation in which the control term is expressed as <span><math><mrow><msub><mrow><mi>B</mi></mrow><mrow><mi>i</mi></mrow></msub><msub><mrow><mi>u</mi></mrow><mrow><mi>i</mi></mrow></msub></mrow></math></span>, where <span><math><msub><mrow><mi>B</mi></mrow><mrow><mi>i</mi></mrow></msub></math></span> is a common <span><math><mrow><mi>n</mi><mo>×</mo><mi>m</mi></mrow></math></span> real matrix. Tackling this type of issue poses greater challenges than dealing with the special case where <span><math><msub><mrow><mi>B</mi></mrow><mrow><mi>i</mi></mrow></msub></math></span> is an identity matrix. Through appropriate selection of matrix <span><math><msub><mrow><mi>B</mi></mrow><mrow><mi>i</mi></mrow></msub></math></span>, the controller can be effectively employed across all or certain states. To demonstrate the practical validity of the proposed approach, a numerical example is presented to illustrate its effectiveness.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"145 ","pages":"Article 108700"},"PeriodicalIF":3.8000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S100757042500111X","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This paper concentrates on the synchronization problem of complex networks subject to coupling delays and impulsive disturbances, employing delayed state-feedback control strategies. By constructing a Lyapunov–Krasovskii functional with two different exponential decay rates, the complex networks with impulsive disturbances can achieve globally exponential synchronization (GES). Furthermore, the derived synchronization norms establish a link between coupling delay and feedback delay. This paper considers the normal situation in which the control term is expressed as , where is a common real matrix. Tackling this type of issue poses greater challenges than dealing with the special case where is an identity matrix. Through appropriate selection of matrix , the controller can be effectively employed across all or certain states. To demonstrate the practical validity of the proposed approach, a numerical example is presented to illustrate its effectiveness.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.