Soft real-time scheduling for embedded control systems
Copyright policy )Soft real-time scheduling for embedded control systems
We deal with the following problem: how to implement a feedback controller on a CPU, with variable computation time, on a CPU that is shared with other tasks so that 1) the task satisfies its Quality of Control (QoC) requirements, 2) the CPU can be efficiently managed to host other concurrent activities. We propose a solution based on the combination of a predictable model of computation and of a scheduling algorithm that enables a fine control on the evolution of the delay. This combination of techniques enables us to set up an optimisation problem where the scheduling parameters are synthesised in order to minimise the CPU utilisation and guarantee the QoC requirements for the control task.
- Supélec France
- University of Trento Italy
- University of Paris-Sud France
- French National Centre for Scientific Research France
- University of Paris-Saclay France
Adaptive algorithms; Computer controlled systems; Control engineering applications of computers; Real-time systems; Real-time tasks; Stochastic jump processes; Time schedule controllers;, computer controlled systems, real-time tasks, stochastic jump processes, Control/observation systems involving computers (process control, etc.), [SPI.AUTO]Engineering Sciences [physics]/Automatic, adaptive algorithms, real-time systems, [SPI.AUTO] Engineering Sciences [physics]/Automatic, Application models in control theory, time schedule controllers, Stochastic systems in control theory (general), control engineering applications of computers
Adaptive algorithms; Computer controlled systems; Control engineering applications of computers; Real-time systems; Real-time tasks; Stochastic jump processes; Time schedule controllers;, computer controlled systems, real-time tasks, stochastic jump processes, Control/observation systems involving computers (process control, etc.), [SPI.AUTO]Engineering Sciences [physics]/Automatic, adaptive algorithms, real-time systems, [SPI.AUTO] Engineering Sciences [physics]/Automatic, Application models in control theory, time schedule controllers, Stochastic systems in control theory (general), control engineering applications of computers
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