Publications:Mathematical Equations as Executable Models of Mechanical Systems

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Title Mathematical Equations as Executable Models of Mechanical Systems
Author Yun Zhu and Edwin Westbrook and Jun Inoue and Alexandre Chapoutot and Cherif Salama and Marisa Peralta and Travis Martin and Walid Taha and Marcia O’Malley and Robert Cartwright and Aaron Ames and Raktim Bhattacharya
Year 2010
PublicationType Conference Paper
HostPublication Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS '10
Conference 1st ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2010, Stockholm, Sweden, 13-15 April 2010
Diva url
Abstract Cyber-physical systems comprise digital components that directly interact with a physical environment. Specifying the behavior desired of such systems requires analytical modeling of physical phenomena. Similarly, testing them requires simulation of continuous systems. While numerous tools support later stages of developing simulation codes, there is still a large gap between analytical modeling and building running simulators. This gap significantly impedes the ability of scientists and engineers to develop novel cyber-physical systems. We propose bridging this gap by automating the mapping from analytical models to simulation codes. Focusing on mechanical systems as an important class of physical systems, we study the form of analytical models that arise in this domain, along with the process by which domain experts map them to executable codes. We show that the key steps needed to automate this mapping are 1) a light-weight analysis to partially direct equations, 2) a binding-time analysis, and 3) symbolic differentiation. In addition to producing a prototype modeling environment, we highlight some limitations in the state of the art in tool support of simulation, and suggest ways in which some of these limitations could be overcome. © 2010 ACM.