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Optimal On-line (m,k)-firm Constraint Assignment for Real-time Control Tasks Based on Plant State Information
Abstract : In this paper, we study the problem of scheduling a set of control tasks. We distinguish three different situations of states of controlled plants: not activated, steady state situation and transient situation. The infinite-horizon and finite-horizon cost functions are respectively used to represent the performance of each control task in last two situations. We propose a scheduling architecture in which, according to the plant state situation, the task handler switches between these two types of performance criterion to determine an on-line (m,k)-constraint based control task scheduling strategy, so that the overall control performance is maintained at a high level in each situation subject to the task schedulability. The approach is exemplified on a set of controllers for different plants.
Cited literature [17 references]
https://hal.inria.fr/inria-00335942
Contributor : Flavia Felicioni <>
Submitted on : Monday, November 3, 2008 - 12:13:03 PM
Last modification on : Tuesday, March 16, 2021 - 5:42:05 PM
Long-term archiving on: : Monday, June 7, 2010 - 10:31:50 PM
Contributor : Flavia Felicioni <>
Submitted on : Monday, November 3, 2008 - 12:13:03 PM
Last modification on : Tuesday, March 16, 2021 - 5:42:05 PM
Long-term archiving on: : Monday, June 7, 2010 - 10:31:50 PM
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