Non-fragile control of discrete-time conic-type nonlinear Markovian jump systems under deception attacks using event-triggered scheme and Its application

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
M. Mubeen Tajudeen , M. Syed Ali , Ganesh Kumar Thakur , Bandana Priya , R. Perumal
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引用次数: 0

Abstract

The non-fragile control issue of discrete-time conic-type nonlinear Markov jump systems under deception attacks has been investigated using an event-triggered method. The nonlinear terms satisfy the conic-type nonlinear constraint condition that lies in a known hypersphere with an uncertain center is employed. The deception attack may obstruct normal communication in an effort to obtain confidential information. In addition, a non-fragile event-triggered controller is suggested to further conserve communication resources. As a stochastic process, a deception attack is manageable by the established controller. Also, by choosing an appropriate Lyapunov-Krasovskii functional, a set of necessary conditions is found in terms of linear matrix inequalities (LMIs) that guarantee mean square stability of the discrete-time conic-type nonlinear Markov jump system in the presence of deception attacks. Finally, the proposed non-fragile event-triggered control techniques is validated with a DC-DC motor application system and another numerical example.

利用事件触发方案实现欺骗攻击下离散-时间圆锥型非线性马尔可夫跃迁系统的非脆弱控制及其应用
采用事件触发方法研究了欺骗攻击下离散时间圆锥型非线性马尔可夫跃迁系统的非脆弱控制问题。非线性项满足圆锥型非线性约束条件,该约束条件位于一个中心不确定的已知超球中。欺骗攻击可能会阻碍正常通信,以获取机密信息。此外,还建议采用非脆弱事件触发控制器,以进一步节省通信资源。作为一个随机过程,欺骗攻击可由已建立的控制器进行管理。同时,通过选择适当的 Lyapunov-Krasovskii 函数,找到了一组线性矩阵不等式(LMI)的必要条件,保证了离散时间圆锥型非线性马尔可夫跃迁系统在存在欺骗攻击时的均方稳定性。最后,通过一个直流-直流电机应用系统和另一个数值示例验证了所提出的非脆弱事件触发控制技术。
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来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
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.
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