A co-simulation approach for control performance analysis during design space exploration of cyber-physical systems
Author(s) -
Nina Mühleis,
Michael Glaß,
Liyuan Zhang,
Jürgen Teich
Publication year - 2011
Publication title -
acm sigbed review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.27
H-Index - 5
ISSN - 1551-3688
DOI - 10.1145/2000367.2000372
Subject(s) - scheduling (production processes) , architecture , design space exploration , computer science , control (management) , energy consumption , control system , cyber physical system , systems design , co simulation , virtual space , control engineering , systems engineering , distributed computing , embedded system , engineering , software engineering , operating system , art , operations management , electrical engineering , artificial intelligence , visual arts
In modern embedded systems, more and more control applications are executed in a distributed fashion. Here, the architecture as well as the scheduling policies influence the control performance. Thus, considering control performance as design objective at Electronic System Level becomes mandatory. This work presents a control performance analysis approach based on the co-simulation of high level models of plants and a virtual prototype of the controllers in the system. The work in hand integrates this co-simulation in a Design Space Exploration, resulting in a fully automatic toolflow at the ESL that accounts for several control performance metrics as additional principle design objectives together with other design objectives such as monetary cost or energy consumption.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom