CAREER: Resilient Design of Networked Infrastructure Systems: Models, Validation, and Synthesis

该项目促进了有关设计方法的科学知识，以提高民用基础设施对中断的复原力。为了提高复原力，民用基础设施部门的关键服务必须利用新的诊断工具和控制算法，以确保在出现安全攻击和随机故障时的生存能力，并在设计过程中纳入人类决策者的激励模型。该项目将开发一个实用的设计工具包和平台，以便能够整合在民用基础设施中部署的网络物理系统的提高复原力的控制工具和奖励计划。理论和算法将被应用于评估恢复能力水平，选择改进性能的战略，并为水、电分配和交通基础设施中特定部门的CPS功能提供可靠性和安全保证。主要关注网络控制功能的弹性设计，以解决事件响应、需求管理和供应不确定性等问题。更广泛地说，该项目的知识和工具将影响水、运输和能源部门的CPS设计，也适用于其他系统，如食品、石油和天然气的供应链。拟议的平台将用于开发案例研究、测试实施和设计项目，以支持教育和外联活动。目前的CPS部署缺乏旨在在受随机事件和战略实体行动影响的不确定环境中生存的综合组件。该工具包(I)对由于网络物理组件故障造成的中断的传播进行建模，(Ii)检测并响应本地和网络级故障，以及(Iii)设计可提高公共利益(例如，缓解拥塞、安全)的总体水平的激励方案，同时考虑到战略实体之间的网络相互依赖性和私人信息。验证方法使用从公共来源收集的真实数据、领域专家开发的测试用例和模拟软件。集成这些工具以提供多层设计平台，该平台探索设计空间以综合满足弹性规格的解决方案。该平台确保综合实施满足功能要求，并估计CPS恢复能力所需的性能保证。这种建模、验证、探索和综合的方法为弹性工程提供了科学依据。它通过为未来的工程师提供一个平台和结构化的工作流程来支持CPS教育，以接近和了解实施现实和社会技术限制。

This project advances the scientific knowledge on design methods for improving the resilience of civil infrastructures to disruptions. To improve resilience, critical services in civil infrastructure sectors must utilize new diagnostic tools and control algorithms that ensure survivability in the presence of both security attacks and random faults, and also include the models of incentives of human decision makers in the design process. This project will develop a practical design toolkit and platform to enable the integration of resiliency-improving control tools and incentive schemes for Cyber-Physical Systems (CPS) deployed in civil infrastructures. Theory and algorithms will be applied to assess resiliency levels, select strategies to improve performance, and provide reliability and security guarantees for sector-specific CPS functionalities in water, electricity distribution and transportation infrastructures. The main focus is on resilient design of network control functionalities to address problems of incident response, demand management, and supply uncertainties. More broadly, the knowledge and tools from this project will influence CPS designs in water, transport, and energy sectors, and also be applicable to other systems such as supply-chains for food, oil and gas. The proposed platform will be used to develop case studies, test implementations, and design projects for supporting education and outreach activities. Current CPS deployments lack integrated components designed to survive in uncertain environments subject to random events and the actions of strategic entities. The toolkit (i) models the propagation of disruptions due to failure of cyber-physical components, (ii) detects and responds to both local and network-level failures, and (iii) designs incentive schemes that improve aggregate levels of public good (e.g., decongestion, security), while accounting for network interdependencies and private information among strategic entities. The validation approach uses real-world data collected from public sources, test cases developed by domain experts, and simulation software. These tools are integrated to provide a multi-layer design platform, which explores the design space to synthesize solutions that meet resiliency specifications. The platform ensures that synthesized implementations meet functionality requirements, and also estimates the performance guarantees necessary for CPS resilience. This modeling, validation, exploration, and synthesis approach provides a scientific basis for resilience engineering. It supports CPS education by providing a platform and structured workflow for future engineers to approach and appreciate implementation realities and socio-technical constraints.