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Memory sampled data control for switched-type neural networks and its application in image secure communications
Mathematics and Computers in Simulation ( IF 4.4 ) Pub Date : 2021-03-31 , DOI: 10.1016/j.matcom.2021.03.021
Yang Cao , K. Udhayakumar , K. Pradeepa Veerakumari , R. Rakkiyappan

The present study focuses on designing the memory-based sampled data control approach to achieve the desired performance from switched-type of neural networks. The overall contribution of the study can be viewed from two directions. The first part is to derive the theoretical-based sufficient stability conditions that ensure the synchronization of uncontrolled and controlled systems. The idea behind the synchronization analysis is because of time complexity and computational cost. Once, we derive the closed-loop system then user can employ them in any practical application without interruptions. The existence of time-delays during the information transmission are inevitable, and in a practical sense, the delays, which is a function of time is well-effective. Besides, the sufficient conditions are derived in terms of solvable linear matrix inequalities (LMIs), which can be solved to ensure the global asymptotical stability of the error system, derived from uncontrolled-controlled systems. Technically, the work integrates with the new type of discontinuous Lyapunov-Krasovskii functional candidate with integral terms, several delay-dependent stability conditions, and Wirtinger-based integral inequality. The second part works on utilizing the controlled system into a real-life application, say, encryption/decryption process. To an evident, the proposed controlled system is considered as crypto-system in the encryption/decryption process.



中文翻译:

开关型神经网络的内存采样数据控制及其在图像安全通信中的应用

本研究的重点是设计基于内存的采样数据控制方法,以从开关型神经网络获得所需的性能。该研究的总体贡献可以从两个方向来看。第一部分是推导基于理论的充分稳定性条件,以确保不受控制的系统与受控系统的同步。同步分析背后的想法是由于时间复杂性和计算成本。一次,我们得出了闭环系统,然后用户可以在任何实际应用中使用它们而不会受到干扰。在信息传输过程中不可避免存在时间延迟,并且在实际意义上,作为时间的函数的延迟是非常有效的。除了,根据可解线性矩阵不等式(LMI)可以得出足够的条件,可以解决这些问题,以确保误差系统的全局渐近稳定性(源自不受控制的系统)。从技术上讲,该工作与新型不连续Lyapunov-Krasovskii候选函数进行了积分,该候选函数具有积分项,几个时变相关的稳定性条件以及基于Wirtinger的积分不等式。第二部分致力于将受控系统用于现实生活中的应用程序,例如加密/解密过程。显然,所提出的受控系统在加密/解密过程中被认为是密码系统。这项工作与新型不连续Lyapunov-Krasovskii候选函数进行了整合,该候选函数具有积分项,几个时变相关的稳定性条件以及基于Wirtinger的积分不等式。第二部分致力于将受控系统用于现实生活中的应用程序,例如加密/解密过程。显然,所提出的受控系统在加密/解密过程中被认为是密码系统。这项工作与新型不连续Lyapunov-Krasovskii候选函数进行了整合,该候选函数具有积分项,几个时变相关的稳定性条件以及基于Wirtinger的积分不等式。第二部分致力于将受控系统用于现实生活中的应用程序,例如加密/解密过程。显然,所提出的受控系统在加密/解密过程中被认为是密码系统。

更新日期:2021-03-31
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