MIMO非线性切换系统抗传感器和执行器攻击的双触发自适应神经控制方案

IF 3.4 2区数学 Q1 MATHEMATICS, APPLIED

Communications in Nonlinear Science and Numerical Simulation Pub Date : 2025-04-04 DOI:10.1016/j.cnsns.2025.108811

Zixiang Zhao , Liang Zhang , Shuyi Yang , Ning Zhao , Yongchao Liu

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引用次数: 0

摘要

针对一类多输入多输出（MIMO）非线性网络物理系统，提出了一种双触发自适应神经控制方案。在传统的反推框架中，传感器到控制器和控制器到执行器通道的双触发机制旨在有效地减少通信和计算负担，同时确保避免芝诺行为。此外，设计的事件触发虚拟控制器和自适应神经事件触发控制器解决了对传感器和执行器的欺骗攻击。结果表明，所提出的双触发自适应神经控制方案可以对整个闭环系统的信号进行有界控制。最后，通过数值和工程实例验证了该方案的有效性。

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Dual-triggered scheme for adaptive neural control of MIMO nonlinear switched systems against sensor and actuator attacks

A dual-triggered adaptive neural control scheme for a class of multiple-input multiple-output (MIMO) switched nonlinear cyber–physical systems under dual-channel deception attack is proposed in this paper. The dual-triggered mechanism for both sensor-to-controller and controller-to-actuator channels within the traditional backstepping framework is designed to effectively reduce the communication and computational burdens, while ensuring the Zeno behavior is avoided. In addition, deception attacks on sensors and actuators are addressed by the designed event-triggered virtual controller and adaptive neural event-triggered controller. The results indicate that the signals of the overall closed-loop system can be bounded by using the developed dual-triggered adaptive neural control scheme. Finally, numerical and practical engineering examples are provided to validate the effectiveness of the scheme.

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来源期刊

Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

CiteScore

6.80

自引率

7.70%

发文量

378

审稿时长

78 days

期刊介绍： The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.