Fundamental Limits of Cyber-Physical Systems Modeling

Author:

Lee Edward A.1

Affiliation:

1. EECS Department, UC Berkeley, Berkeley, CA

Abstract

This article examines the role of modeling in the engineering of cyber-physical systems. It argues that the role that models play in engineering is different from the role they play in science, and that this difference should direct us to use a different class of models, where simplicity and clarity of semantics dominate over accuracy and detail. I argue that determinism in models used for engineering is a valuable property and should be preserved whenever possible, regardless of whether the system being modeled is deterministic. I then identify three classes of fundamental limits on modeling, specifically chaotic behavior, the inability of computers to numerically handle a continuum, and the incompleteness of determinism. The last of these has profound consequences.

Funder

National Science Foundation

IBM and United Technologies

Center for Hybrid and Embedded Software Systems (CHESS) at UC Berkeley

STARnet phase of the Focus Center Research Program

Semiconductor Research Corporation program sponsored by MARCO and DARPA

iCyPhy Research Center

Denso, IHI, National Instruments and Toyota

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Control and Optimization,Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

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