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首页> 外文期刊>IEEE transactions on industrial informatics >Mitigating Attacks With Nonlinear Dynamics on Actuators in Cyber-Physical Mechatronic Systems
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Mitigating Attacks With Nonlinear Dynamics on Actuators in Cyber-Physical Mechatronic Systems

机译：利用非线性动力学减轻对电子物理机电系统中执行器的攻击

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摘要

The impact and mitigation of false data injection (FDI) attacks with nonlinear dynamics targeting actuators in cyber-physical mechatronic systems (CPMSs) is investigated in this paper. Actuators in mechatronic systems exhibit vulnerabilities to inputs with well-known nonlinearities (e.g., backlash, deadzone, and saturation), where the nonlinear dynamics can affect the actuators' performance. A mitigation approach is proposed based on the retrospective cost-based adaptive control to stabilize and regulate the CPMS under such FDI cyberattack. Since mechatronic systems are implemented with actuators of different dynamical properties, this paper considers systems of linear and nonlinear dynamics. Simulation results demonstrate how the proposed adaptive control system achieves internal model control with the dynamics of the actuator systems and the nonlinearities of the backlash, deadzone, and saturation attacks. Results further show that the controller inverts and rejects the effects of attacks with unknown nonlinearities.
机译：本文研究了针对非线性物理动力的电子数据物理机电系统（CPMS）中虚假数据注入（FDI）攻击的影响和缓解。机电一体化系统中的执行器对具有众所周知的非线性（例如反冲，死区和饱和度）的输入具有脆弱性，其中非线性动力学会影响执行器的性能。提出了一种基于回顾性基于成本的自适应控制的缓解方法，以在此类FDI网络攻击下稳定和调节CPMS。由于机电系统是由具有不同动力学特性的执行器实现的，因此本文考虑了线性和非线性动力学系统。仿真结果证明了所提出的自适应控制系统如何通过执行器系统的动力学以及反冲，死区和饱和度攻击的非线性来实现内部模型控制。结果还表明，该控制器可以反转并拒绝非线性未知攻击的影响。

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