Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Elastic Scheduling for Flexible Workload Management
IEEE Transactions on Computers
Feedback–Feedforward Scheduling of Control Tasks
Real-Time Systems
On task schedulability in real-time control systems
RTSS '96 Proceedings of the 17th IEEE Real-Time Systems Symposium
Elastic Task Model for Adaptive Rate Control
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
Optimal State Feedback Based Resource Allocation for Resource-Constrained Control Tasks
RTSS '04 Proceedings of the 25th IEEE International Real-Time Systems Symposium
Generalized Elastic Scheduling
RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
Euromicro-RTS'00 Proceedings of the 12th Euromicro conference on Real-time systems
Journal of Systems Architecture: the EUROMICRO Journal
Event-predictive control for energy saving of wireless networked control system
ACC'09 Proceedings of the 2009 conference on American Control Conference
Self-triggered feedback systems with state-independent disturbances
ACC'09 Proceedings of the 2009 conference on American Control Conference
Trigger memoization in self-triggered control
Proceedings of the tenth ACM international conference on Embedded software
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A self-triggered control task is one in which the task determines its next release time. It has been conjectured that self-triggering can relax the requirements on a real-time scheduler while maintaining application (i.e. control system) performance. This paper presents preliminary results supporting that conjecture for a self-triggered real-time system implementing full-information H∞ controllers. Release times are selected to enforce upper bounds on the induced L2 gain of a linear feedback control system. These release times are treated as requests by the system scheduler, which then assigns actual release times using Buttazzo's elastic scheduling algorithm. Preliminary experimental results from a Matlab stateflow simulink model demonstrated a remarkable robustness to scheduling delays induced by real-time schedulers. These results show that self-triggered controllers are indeed able to maintain acceptable levels of application performance during prolonged periods of processor overloading.