Assured System-Level Resilience for Guaranteed Disaster Response

Melkior Ornik, Jean-Baptiste Bouvier
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引用次数: 2

Abstract

Resilience of urban infrastructure to sudden, system-wide, potentially catastrophic events is a critical need across domains. The growing connectivity of infrastructure, including its cyber-physical components which can be controlled in real time, offers an attractive path towards rapid adaptation to adverse events and adjustment of system objectives. However, existing work in the field often offers disjoint approaches that respond to particular scenarios. On the other hand, abstract work on control of complex systems focuses on attempting to adapt to the changes in the system dynamics or environment, but without understanding that the system may simply not be able to perform its original task after an adverse event. To address this challenge, this programmatic paper proposes a vision for a new paradigm of infrastructure resilience. Such a framework treats infrastructure across domains through a unified theory of controlled dynamical systems, but remains cognizant of the lack of knowledge about the system following a widespread adverse event and aims to identify the system's fundamental limits. As a result, it will enable the infrastructure operator to assess and assure system performance following an adverse event, even if the exact nature of the event is not yet known. Building off ongoing work on assured resilience of control systems, in this paper we identify promising early results, challenges that motivate the development of resilience theory for infrastructure system, and possible paths forward for the proposed effort.
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确保系统级弹性,保证灾难响应
城市基础设施对突发的、全系统的、潜在的灾难性事件的弹性是跨领域的关键需求。基础设施日益增长的连通性,包括其可实时控制的网络物理组件,为快速适应不利事件和调整系统目标提供了一条有吸引力的途径。然而,该领域的现有工作往往提供对特定情况作出反应的不连贯的方法。另一方面,复杂系统控制的抽象工作侧重于试图适应系统动力学或环境的变化,但没有理解系统在不利事件发生后可能根本无法执行其原始任务。为了应对这一挑战,本文提出了一种基础设施弹性新范式的愿景。这样的框架通过受控动力系统的统一理论来处理跨领域的基础设施,但仍然认识到在广泛的不利事件之后缺乏对系统的知识,并旨在确定系统的基本限制。因此,它将使基础设施运营商能够评估并确保系统在不良事件发生后的性能,即使事件的确切性质尚不清楚。在本文中,我们确定了有希望的早期结果,激励基础设施系统弹性理论发展的挑战,以及提出的努力的可能前进路径,以确保控制系统的弹性。
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