Challenges in Physical Modeling for Adaptation of Cyber-Physical Systems
Ivan Ruchkin, Selva Samuel,
Bradley Schmerl, Amanda Rico and
David Garlan.
In Workshop on MARTCPS Models at Runtime and Networked Control for Cyber Physical Systems at IEEE World Forum on the Internet of Things, Reston, Virginia, 12-14 December 2016. Winner of the IEEE World Forum on the Internet of Things Best Paper Award.
Online links:   Plain Text
Abstract
| Cyber-physical systems (CPSs) mix software,
hardware, and physical aspects with equal importance. Typically,
the use of models of such systems during run time
has concentrated only on managing and controlling the cyber
(software) aspects. However, to fully realize the goals of a
CPS, physical models too have to be treated as first-class
models. This approach gives rise to three main challenges:
(a) identifying and integrating physical and software models
with different characteristics and semantics; (b) obtaining
instances of physical models at a suitable level of abstraction
for adaptation; and (c) using and adapting physical models to
control CPSs. In this position paper, we elaborate on these three
challenges and describe our vision of making physical models
first-class entities in adaptation. We illustrate this vision in the
context of power adaptation for a service robotic system. |
Keywords: Cyberphysical Systems.
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