Control system and elastic scheduling co-design

As the control systems' dynamic property and the high requirement for real-time, the traditional real-time scheduling algorithms cannot adapt to the control system. Fortunately the adaptive closed-loop real-time scheduling algorithms behave robustly for disturbances. This paper discusses a new feedback real-time scheduling algorithm which can adapt to the special requirements of control system. The aim of this algorithm is to guarantee the QoC (Quality of Control) and to increase the reliability of control system. It allocates resource to tasks according their contribution to QoC. The scheduling algorithm and control system co-design involves how to assign the properties of real-time tasks. Take the CNC system as an example, this paper also represents the method of scheduling algorithm and control system co-design.

[1]  Giorgio C. Buttazzo,et al.  Adaptive Workload Management through Elastic Scheduling , 2002, Real-Time Systems.

[2]  Giuseppe Lipari,et al.  Elastic Scheduling for Flexible Workload Management , 2002, IEEE Trans. Computers.

[3]  Olivier Sename,et al.  Robust control/scheduling co-design: application to robot control , 2005, 11th IEEE Real Time and Embedded Technology and Applications Symposium.

[4]  Michael D. Lemmon,et al.  Generalized Elastic Scheduling , 2006, 2006 27th IEEE International Real-Time Systems Symposium (RTSS'06).

[5]  Jon File,et al.  Real-Time Systems: Reflections on higher education in the Czech Republic, Hungary, Poland and Slovenia , 2003 .

[6]  Edward A. Lee Cyber Physical Systems: Design Challenges , 2008, 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC).

[7]  Karl-Erik Årzén,et al.  Integrated Control and Scheduling , 1999 .

[8]  Sang Hyuk Son,et al.  The case for feedback control real-time scheduling , 1998, Proceedings of 11th Euromicro Conference on Real-Time Systems. Euromicro RTS'99.

[9]  Sang Hyuk Son,et al.  Feedback Control Real-Time Scheduling: Framework, Modeling, and Algorithms* , 2001, Real-Time Systems.