Aim & Scope
The scope of the journal is to provide a multidisciplinary forum for scientists, researchers and engineers involved in research and design of nonlinear processes and phenomena, including the nonlinear modelling of phenomena of the nature. The journal accepts contributions on nonlinear phenomena and processes in any field of science and technology. The aims of the journal are: to provide a presentation of theoretical results and applications; to cover research results of multidisciplinary interest; to provide fast publishing of quality papers by extensive work of editors and referees; to provide an early access to the information by presenting the complete papers on Internet. Journal welcomes the following types of contributions: original research papers; review articles, providing a comprehensive review on a scientific topic; short self-contained articles on ongoing research, or reporting interesting, possibly tentative ideas; comments on previously published research. [1]
2024
E Soori , R Agarwal , D O'Regan
Nonlinear Analysis : Modelling and Control , 2024 , pp 1-12.
Y Achtoun , S Radenović , I Tahiri , M Lamarti Sefian
Nonlinear Analysis : Modelling and Control , 2024 , pp 1-12.
Comparative analysis of classical and stochastic Maccari system of nonlinear equations
No authors listed.
Nonlinear Analysis : Modelling and Control , 2024 , pp 1-14.
Abstract random differential equations with state-dependent delay using measures of noncompactness
A Heris , Z Bouteffal , A Salim , ... , E Karapınar
Nonlinear Analysis : Modelling and Control , 2024 , pp 1-15.
P Katauskis , F Ivanauskas , A Alaburda
Nonlinear Analysis : Modelling and Control , 2024 , pp 1-16.
Fractal perspective on dynamics of dark matter and dark energy interactions
T Priyanka , A Gowrisankar , S Banerjee
Nonlinear Analysis : Modelling and Control , 2024 , pp 1-16.
Construction of the beta distributions using the random permutation divisors
No authors listed.
Nonlinear Analysis : Modelling and Control , 2024 , pp 1-16.
Exponential synchronization of dynamical complex networks via random impulsive scheme
B Zhou , X Shu , F Xu , ... , Y Wang
Nonlinear Analysis : Modelling and Control , 2024 , pp 1-17.
Editorial Retractions, Expressions of Concern and External Notices
Iterative learning control for impulsive multi-agent systems with varying trial lengths
X Cao , M Fečkan , D Shen , J Wang
Nonlinear Analysis : Modelling and Control2022 - VOLUME 27 pp 1-21.
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Iterative learning control for multi-agent systems with impulsive consensus tracking
X Cao , M Fečkan , D Shen , J Wang
Nonlinear Analysis : Modelling and Control2021 - VOLUME 26, ISSUE 1 pp 130-150.
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