A CASE STUDY OF OPTIMAL INPUT-OUTPUT SYSTEM WITH SAMPLED-DATA CONTROL: DING ET AL. FORCE AND FATIGUE MUSCULAR CONTROL MODEL
Affiliation auteurs | !!!! Error affiliation !!!! |
Titre | A CASE STUDY OF OPTIMAL INPUT-OUTPUT SYSTEM WITH SAMPLED-DATA CONTROL: DING ET AL. FORCE AND FATIGUE MUSCULAR CONTROL MODEL |
Type de publication | Journal Article |
Year of Publication | 2019 |
Auteurs | Bakir T, Bonnard B, Rouot J |
Journal | NETWORKS AND HETEROGENEOUS MEDIA |
Volume | 14 |
Pagination | 79-100 |
Date Published | MAR |
Type of Article | Article |
ISSN | 1556-1801 |
Mots-clés | Model predictive control, Muscular force and fatigue model, non-linear observer, optimization of sampled-data control |
Résumé | The objective of this article is to make the analysis of the muscular force response to optimize electrical pulses train using Ding et al. force-fatigue model. A geometric analysis of the dynamics is provided and very preliminary results are presented in the frame of optimal control using a simplified input-output model. In parallel, to take into account the physical constraints of the problem, partial state observation and input restrictions, an optimized pulses train is computed with a model predictive control, where a non-linear observer is used to estimate the state-variables. |
DOI | 10.3934/nhm.2019005 |