CPS: DFG Joint: Medium: Collaborative Research: Data-Driven Secure Holonic control and Optimization for the Networked CPS (aDaptioN)

对关键网络物理网络基础设施(CPNI)的分散/分布式控制和优化将提高配电网的健壮性、安全性和弹性，直接影响到市民的生活和国民经济。提出的控制和优化体系结构灵活、适应不断变化的操作场景、快速准确地响应、提供更好的可扩展性和健壮性，并且即使在利用海量传感器数据、分布式计算和边缘计算被推向边缘时也能安全地运行系统。算法和平台将开放源码和免版税发布，项目团队将与行业成员和研究人员合作，将开发的算法更广泛地用于其他CPNI。作为拟议工作的一部分，开发的文物将整合到现有的本科生和研究生相关课程中。本科生将通过补充剂从事研究，未被充分代表的学生和工程学预科学生将通过国内机构现有的外展活动参与，包括Imagine U计划和4-H青少年夏令营计划以及太平洋西北路易斯·斯托克斯少数民族参与联盟。此外，项目组计划在第三年组织一次研讨会，以演示拟议的控制和优化架构的基本概念和应用，以推进CPNI。所开发的解决方案可以扩展到所讨论的用例之外的多个CPNIS中的应用范围。虽然所提出的具有边缘计算的控制体系结构提供了巨大的潜力，但由于可变的网络和计算延迟、多个消息到达的交织、不同的组件故障模式以及网络安全威胁，协调分散控制和优化是极具挑战性的，从而导致了几个基本的理论问题。提出的工作提供了许多新的解决方案，包括(A)自适应和时延感知控制算法，(B)具有现实网络物理约束的预测控制和分布式优化，(C)威胁共享，数据驱动的网络安全检测和缓解，(D)计算节点的协调和管理，(E)知识学习和共享。提出的解决方案将是朝着推进CPNI和工程下一代CPNI的基础迈出的一步。拟议的工作还旨在使用高保真试验台来评估为特定CPNI：配电网开发的算法和工具。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The proposed decentralized/distributed control and optimization for the critical cyber-physical networked infrastructures (CPNI) will improve the robustness, security and resiliency of the electric distribution grid, which directly impacts the life of citizens and national economy. The proposed control and optimization architectures are flexible, adapt to changing operating scenarios, respond quickly and accurately, provide better scalability and robustness, and safely operate the system even when pushed towards the edges by leveraging massive sensor data, distributed computation, and edge computing. The algorithms and platform will be released open source and royalty-free and the project team will work with industry members and researchers for wider usage of the developed algorithms for other CPNI. Developed artifacts as part of the proposed work will be integrated in existing undergraduate and graduate related courses. Undergraduate students will be engaged in research through supplements and underrepresented and pre-engineering students will be engaged through existing outreach activities at home institutions including Imagine U program and 4-H Teens summer camp programs and the Pacific Northwest Louis Stokes Alliance for Minority Participations. Additionally, project team plans to organize a workshop in the third year to demonstrate the fundamental concepts and applications of the proposed control and optimization architecture to advance CPNI. Developed solutions can be extended for range of applications in multiple CPNIs beyond use cases discussed in the proposed work.While the proposed control architecture with edge computing offer great potential; coordinating decentralized control and optimization is extremely challenging due to variable network and computational delays, several interleavings of message arrivals, disparate failure modes of components, and cyber security threats leading to several fundamental theoretical problems. Proposed work offers number of novel solutions including (a) adaptive and delay-aware control algorithms, (b) Predictive control and distributed optimization with realistic cyber-physical constraints, (c) threat sharing, data-driven detection and mitigation for cyber security, (d) coordination and management of computing nodes, (e) knowledge learning and sharing. Proposed solutions will be a step towards advancing fundamentals in CPNI and in engineering next generation CPNI. The proposed work also aims to use high fidelity testbed to evaluate developed algorithms and tools for specific CPNI: electric distribution grid.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.