Toward a Science for Cyber-Physical System Integration

Abstract

System integration is the elephant in the china store of large-scale Cyber-Physical System (CPS) design. It would be hard to find any other technology that is more undervalued scientifically and at the same time has bigger impact on the presence and future of engineered systems. The unique challenges in CPS integration emerge from the heterogeneity of components and interactions. This heterogeneity drives the need for modeling and analyzing cross-domain interactions among physical and computational/networking domains and demands deep understanding the effects of heterogeneous abstraction layers in the design flow. To address the challenges of CPS integration, significant progress needs to be made toward a new science and technology foundation that is model-based, precise, and predictable.

The intricate interactions between physical dynamics, computational dynamics and communication networks in automotive cyber-physical systems pose difficult challenges in developing high-confidence control software for automotive systems. In this work, we address the challenge involved with the development of a systematic methodology for designing, analyzing and testing automotive control systems. We present a TTEthernet-based automotive open experimental platform together with an integrated end-to-end software development process. The end-to-end design approach is applied to a case study of an adaptive cruise control. Additionally, experimental evaluations based on realistic scenarios are presented.

Award ID: 1035655