Skip to Main content Skip to Navigation
Conference papers

Integrating control design and real-time computing : a robust control approach

Daniel Simon 1, * Olivier Sename 2 David Robert 1 Mohamed El Mongi Ben Gaïd 1
* Corresponding author
1 NECS - Networked Controlled Systems
Inria Grenoble - Rhône-Alpes, GIPSA-DA - Département Automatique
2 GIPSA-SLR - GIPSA - Systèmes linéaires et robustesse
GIPSA-DA - Département Automatique
Abstract : Control systems running on a computer are subject to timing disturbances coming from implementation constraints. Fortunately closed-loop systems behave robustly w.r.t. modelling errors and disturbances, and the controller design can be performed to explicitly enhance robustness against specific uncertainties. On one hand robustness in process controllers can be used to comply with weakly modelled timing uncertainties. On the other hand, the principle of robust closed-loop control can also be applied to the real-time scheduler to provide on-line adaption of some scheduling parameters, with the objective of controlling the computing resource allocation. As varying sampling appears to be a key actuator to control the computing resource, a varying sampling control design based on LPV gain scheduling design is provided. The feasibility of the approach is assessed through several examples using simulation and real experiments.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/inria-00195182
Contributor : Daniel Simon Connect in order to contact the contributor
Submitted on : Monday, December 10, 2007 - 11:00:51 AM
Last modification on : Thursday, January 20, 2022 - 5:29:15 PM
Long-term archiving on: : Monday, April 12, 2010 - 6:43:43 AM

File

acd07-27.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00195182, version 1

Collections

Citation

Daniel Simon, Olivier Sename, David Robert, Mohamed El Mongi Ben Gaïd. Integrating control design and real-time computing : a robust control approach. ACD 2007- 5th European Workshop on Advanced Control and Diagnosis, Gipsa-lab, Nov 2007, Grenoble, France. ⟨inria-00195182⟩

Share

Metrics

Record views

148

Files downloads

40