基于时序的安全约束下弹性网络物理系统设计框架

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ACM Transactions on Cyber-Physical Systems Pub Date : 2022-08-30 DOI:10.1145/3594638
Abdullah Al Maruf, Luyao Niu, Andrew Clark, J. S. Mertoguno, R. Poovendran
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引用次数: 0

摘要

网络物理系统(CPS)需要满足机器人、工业制造系统和电力系统等各种应用领域的安全约束。故障和网络攻击已被证明会导致安全违规,从而损坏系统并危及人类生命。已经提出了弹性架构,以通过包括冗余和从安全操作条件重启在内的方法来确保CPS在此类故障和攻击下的安全。现有的CPS弹性体系结构利用不同的机制来保证安全,目前还没有通用的框架来比较它们。此外,采用一种架构的CPS的分析和设计不容易扩展到另一种架构。在本文中,我们提出了一个基于时序的CPS框架,该框架采用了各种弹性架构,并开发了一种用于安全分析和计算控制策略和设计参数的通用方法。利用赛博子系统在有限数量的状态中的一种状态下运行的见解,我们首先开发了一个混合系统模型,该模型捕捉采用任何这些架构的CPS。基于混合系统,我们提出了CPS的控制策略和相关时序参数的联合计算问题,以满足给定的安全约束,并导出了求解的充分条件。利用导出的条件,我们提供了一种算法来计算与所采用的架构相关的控制策略和时序参数。我们还注意到,我们的解决方案可以应用于具有多项式动力学的广泛类别的CPS,并且还允许引入新的架构。我们通过对车辆自适应巡航控制进行案例研究来验证我们提出的框架。
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A Timing-Based Framework for Designing Resilient Cyber-Physical Systems under Safety Constraint
Cyber-physical systems (CPS) are required to satisfy safety constraints in various application domains such as robotics, industrial manufacturing systems, and power systems. Faults and cyber attacks have been shown to cause safety violations, which can damage the system and endanger human lives. Resilient architectures have been proposed to ensure safety of CPS under such faults and attacks via methodologies including redundancy and restarting from safe operating conditions. The existing resilient architectures for CPS utilize different mechanisms to guarantee safety, and currently, there is no common framework to compare them. Moreover, the analysis and design undertaken for CPS employing one architecture is not readily extendable to another. In this article, we propose a timing-based framework for CPS employing various resilient architectures and develop a common methodology for safety analysis and computation of control policies and design parameters. Using the insight that the cyber subsystem operates in one out of a finite number of statuses, we first develop a hybrid system model that captures CPS adopting any of these architectures. Based on the hybrid system, we formulate the problem of joint computation of control policies and associated timing parameters for CPS to satisfy a given safety constraint and derive sufficient conditions for the solution. Utilizing the derived conditions, we provide an algorithm to compute control policies and timing parameters relevant to the employed architecture. We also note that our solution can be applied to a wide class of CPS with polynomial dynamics and also allows incorporation of new architectures. We verify our proposed framework by performing a case study on adaptive cruise control of vehicles.
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来源期刊
ACM Transactions on Cyber-Physical Systems
ACM Transactions on Cyber-Physical Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
5.70
自引率
4.30%
发文量
40
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