Virtualization of computing and networking, IT-OT convergence, cybersecurity and AI-based enhancement of autonomy are significantly increasing the complexity of CPS and CPSoS. New challenges have emerged to demonstrate that these systems are safe and secure. We emphasize the role of control and emerging fields therein, like symbolic control or set-based fault-tolerant and decentralized control, to address safety. We have chosen three open verification problems we deem central in cost-effective development and certification of safety critical CPSoS. We review some promising threads of research that could lead in the long term to a scalable and powerful verification strategy. Its main components are set-based and invariant-based design, contracts, adversarial testing, algorithmic geometry of dynamics, and probabilistic estimation derived from compositional massive testing. To explore these orientations in collaborative projects, and to promote them in certification arenas, we propose to continue and upgrade an open innovation drone-based use case that originated from a collaborative research project in aeronautic certification reformation
翻译:计算机和网络的虚拟化、信息技术-OT的趋同、网络安全以及基于AI的自主性增强等虚拟化和联网、IT-OT的趋同、信息技术-OT的网络和信息技术-OT的增强正在大大增加CPPS和CPS的复杂性。在证明这些系统是安全和有保障的方面出现了新的挑战。我们强调控制和其中新兴领域的作用,例如象征性控制或基于固定的过失容忍控制和分散控制,以解决安全问题。我们选择了三个公开的核查问题,我们认为这些问题在具有成本效益地发展和认证关键的CPSoS方面至关重要。我们审查了一些从长远来看可能导致一个可扩展和强有力的核查战略的有希望的研究线索。其主要组成部分是基于固定的和以变量为基础的设计、合同、对抗性测试、动态的算法几何和从构成性大规模测试得出的概率估计。为了在合作项目中探索这些方向,并在认证领域推广这些方向,我们提议继续和升级一个开放创新的无人驾驶飞机使用案例,该案例源自航空验证改革的合作研究项目。