Quality-of-Control Management in Overloaded Real-Time Systems
IEEE Transactions on Computers
Sensitivity analysis for fixed-priority real-time systems
Real-Time Systems
Flexible quality-of-control management in embedded systems using fuzzy feedback scheduling
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Current design practice and needs in selected industrial sectors
Embedded Systems Design
Fuzzy logic based feedback scheduler for embedded control systems
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
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A common method for dealing with overload conditionsin periodic task systems is to reduce the load by enlargingactivation periods. When a periodic task implementsa digital controller, however, the variation appliedon the task period also affects the control law, whichneeds to be recomputed for the new activation rate. Ifcomputing a new control law requires too much time tobe performed at runtime, a set of controllers has to bedesigned off line for different rates and the system hasto switch to the proper controller in the presence of anoverload condition. In this paper, we present a methodfor reducing the number of controllers to be designedoff line, while still guaranteeing a given control performance.The proposed approach has been integrated withthe elastic scheduling theory to promptly react to overloadconditions. The effectiveness of the proposed approachhas been verified through extensive simulationexperiments performed on an inverted pendulum.