Ghada Al-mahbashi

ORCID: 0000-0002-0409-541X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Nonlinear Dynamics and Pattern Formation
  • Neural Networks Stability and Synchronization
  • stochastic dynamics and bifurcation
  • Chaos control and synchronization
  • Fuzzy and Soft Set Theory
  • Multi-Criteria Decision Making
  • Distributed Control Multi-Agent Systems
  • Advanced Algebra and Logic

Sana'a University
2024

National University of Malaysia
2014-2019

This paper investigates projective lag synchronization (PLS) behavior between chaotic systems in drive-response dynamical networks (DRDNs) model with nonidentical nodes. A hybrid feedback control method is designed to achieve the PLS and without mismatched terms. Specially, coupling matrix this not assumed be symmetric, diffusive or irreducible. The stability of error dynamics proven theoretically using Lyapunov theory. Finally, analytical results show that states network non-delayed can...

10.1142/s0129183114500685 article EN International Journal of Modern Physics C 2014-04-28

This paper investigates lag synchronization between two uncertain complex dynamical network with time-varying coupling delay, fully unknown parameters, and disturbances in finite-time. First, a nonsingular terminal sliding surface is proposed its finite convergence proved. Then, appropriate adaptive laws are derived to estimate the parameters of networks. Subsequently, based on finite-time stability theory laws, an mode control designed for achieving synchronization. In addition, bounded...

10.1109/access.2018.2877707 article EN cc-by-nc-nd IEEE Access 2019-01-01

This paper investigates the problem of projective lag synchronization behavior with delayed coupling in drive-response dynamical networks model identical and non-identical nodes.An adaptive control method is designed to achieve constant time delay time-varying delay.In addition harbors fully unknown parameters disturbances.By using Lyapunov stability theory laws, are estimated.In addition, bounded mismatch disturbance terms also overcome by proposed control.Finally, simulation results reveal...

10.1186/s13662-015-0693-2 article EN cc-by Advances in Difference Equations 2015-11-18

In this paper, we use a hybrid feedback control method to study lag synchronization in uncertain drive-response dynamical networks with feature that the unknown system parameter exists node dynamics. We then design two methods achieve including linear and adaptive control. With designed controllers update laws for dynamics, obtain theorems on based LaSalle invariance principle. When is achieved, identify parameter. Finally, provide numerical examples verify efficiency of proposed schemes.

10.1186/s13662-017-1181-7 article EN cc-by Advances in Difference Equations 2017-04-26

The present paper offers a new notion of sets known as fuzzy neutrosophic ^g-closed in topology. It is an extended form work conducted by Fatimah et.al. [1-3]. investigates several properties neutrisophic ^ g- closed and explores number examples to shed the light on characteristics well some associated relations between them with other sets.

10.54216/ijns.240102 article EN International Journal of Neutrosophic Science 2024-01-01

This paper aims to present a new concept of sets known as fuzzy neutrosophic Q^*-closed in topology. In this study, we explore and investigate more novel properties these classes by some definitions, theorems, propositions. Therefore, group examples is presented discussed clarify the relationships between study with other sets.

10.61356/j.nswa.2024.20352 article EN cc-by Neutrosophic Systems with Applications 2024-08-05

In this study, uncertain complex dynamical network model with time varying coupling delay and derivative is considered.The lag synchronization between two such networks different nodes investigated.An adaptive control method designed by using Lyapunov stability theory for achieving the some corollaries are also given.In addition, on basis of update law, unknown parameters estimated.The analytical results show that states can be asymptotically synchronized under control.The numerical...

10.22436/jnsa.012.04.06 article EN The Journal of Nonlinear Sciences and Applications 2018-12-07

This paper investigates hybrid function projective synchronization behavior between chaotic and hyperchaotic systems in drive-response discrete networks model with different nodes delay coupling. Using Lyapunov stability theory, an adaptive control scheme is applied to achieve order. Based on update law, gains are designed. Finally, numerical examples demonstrate the effectiveness of proposed method.

10.1063/1.4980876 article EN AIP conference proceedings 2017-01-01

This paper investigates projective lag synchronization (PLS) behavior in drive-response dynamical networks (DRDNs) model with non-identical reference node. Based on Lyapunov stability theory and hybrid feedback control method the problem of PLS mismatch terms is solved. Finally, analytical results show that states network non-delayed coupling can be asymptotically synchronized onto a desired scaling factor under designed controller. Moreover, numerical simulations demonstrate validity...

10.1063/1.4931337 article EN AIP conference proceedings 2015-01-01

In this paper, we study the hybrid function projective synchronization between coupled complex discrete networks with different dimensions.The is achieved by designing an adaptive control method.Based on designed controller and Lyapunov stability theory, derive sufficient conditions to realize nodes.Moreover, update law, gains are obtained.Furthermore, examine cases of outer coupling matrix node dynamics.Finally, provide numerical examples show effectiveness proposed scheme.

10.22436/jnsa.010.11.01 article EN The Journal of Nonlinear Sciences and Applications 2017-11-10
Coming Soon ...