Jyotsna Kumari Bharti , K. Murugesan , P. Balasubramaniam
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引用次数: 0
Abstract
External disturbance, uncertainty and time delay are basic ideas of nonlinear systems that are highly related to the control and synchronization of nonlinear systems. This paper introduces a novel approach for achieving synchronization in non-identical chaotic systems in the presence of model uncertainty, external disturbances and time delay. The proposed method utilizes a matrix projective combination synchronization strategy, demonstrating its efficacy in scenarios both with and without time delay. Notably, the application of this strategy has proven to be valuable and efficient, particularly in the domain of encrypting images. This work proceeds by combining two drive systems and one response system using Lyapunov stability theory and a suitable active control technique. Numerical examples are taken to verify the effectiveness of the proposed method and numerical simulations have been performed to demonstrate that the theoretical results are completely consistent with the graphical results. A significant idea for encryption and decryption algorithms is that the secure transmission of images using affine encryption. In affine encryption algorithm, the key is based on the solution of synchronized chaotic delayed disturbed systems and the birth date and birth time of the sender and receiver. The proposed encryption and decryption algorithms have been applied to plain images. Their effectiveness has been validated through key security metrics. Additionally, a comparative analysis with previously published methods demonstrates the robustness and efficiency of the approach.
期刊介绍:
The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles.
Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO.
Topics covered by the journal include mathematical tools in:
•The foundations of systems modelling
•Numerical analysis and the development of algorithms for simulation
They also include considerations about computer hardware for simulation and about special software and compilers.
The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research.
The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.