Computer-controlled systems (3rd ed.)
Computer-controlled systems (3rd ed.)
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
Adaptive Workload Management through Elastic Scheduling
Real-Time Systems
On the Scheduling of Flexible and Reliable Real-Time Control Systems
Real-Time Systems
On task schedulability in real-time control systems
RTSS '96 Proceedings of the 17th 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
QoS Management Through Adaptive Reservations
Real-Time Systems
A Technique for Adaptive Scheduling of Soft Real-Time Tasks
Real-Time Systems
Quality-of-Control Management in Overloaded Real-Time Systems
IEEE Transactions on Computers
Compensation for control packet dropout in networked control systems
Information Sciences: an International Journal
Brief paper: Sporadic event-based control of first-order linear stochastic systems
Automatica (Journal of IFAC)
Draco: Efficient Resource Management for Resource-Constrained Control Tasks
IEEE Transactions on Computers
Generalized Elastic Scheduling for Real-Time Tasks
IEEE Transactions on Computers
Adaptive Fair Sharing Control in Real-Time Systems Using Nonlinear Elastic Task Models
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
On the Benefits of Relaxing the Periodicity Assumption for Networked Control Systems over CAN
RTSS '09 Proceedings of the 2009 30th IEEE Real-Time Systems Symposium
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The elastic task model, a significant development in scheduling of real-time control tasks, provides a mechanism for flexible workload management in uncertain environments. It tells how to adjust the control periods to fulfill the workload constraints. However, it is not directly linked to the quality-of-control (QoC) management, the ultimate goal of a control system. As a result, it does not tell how to make the best use of the system resources to maximize the QoC improvement. To fill in this gap, a new feedback scheduling framework, which we refer to as QoC elastic scheduling, is developed in this paper for real-time process control systems. It addresses the QoC directly through embedding both the QoC management and workload adaptation into a constrained optimization problem. The resulting solution for period adjustment is in a closed-form expressed in QoC measurements, enabling closed-loop feedback of the QoC to the task scheduler. Whenever the QoC elastic scheduler is activated, it improves the QoC the most while still meeting the system constraints. Examples are given to demonstrate the effectiveness of the QoC elastic scheduling.