PROJECT TITLE :

Real-Time Scheduling of PI Control Tasks

ABSTRACT:

Trendy management systems are increasingly realized on embedded systems, where the computation resources are restricted. This temporary addresses the scheduling of a set of control tasks that are implemented on one single processor. For improving the management performance and achieving an economical utilization of the restricted computation resources, an intelligent scheduling algorithm is important. Therefore, a novel scheduling algorithm with output feedback resource allocation is proposed for scheduling a collection of proportional–integral (PI) control tasks. Thereby, an extended PI controller is introduced that may handle time-varying sampling intervals. For deriving an a posteriori stability criterion, each plant with the scheduled PI controller is modeled as a discrete-time switched linear system. The steadiness criterion is eventually formulated as a linear matrix inequality feasibility problem. The effectiveness of the proposed on-line scheduling approach is illustrated by simulation and sensible implementation.


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