A CASE STUDY OF OPTIMAL INPUT-OUTPUT SYSTEM WITH SAMPLED-DATA CONTROL: DING ET AL. FORCE AND FATIGUE MUSCULAR CONTROL MODEL

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TitreA CASE STUDY OF OPTIMAL INPUT-OUTPUT SYSTEM WITH SAMPLED-DATA CONTROL: DING ET AL. FORCE AND FATIGUE MUSCULAR CONTROL MODEL
Type de publicationJournal Article
Year of Publication2019
AuteursBakir T, Bonnard B, Rouot J
JournalNETWORKS AND HETEROGENEOUS MEDIA
Volume14
Pagination79-100
Date PublishedMAR
Type of ArticleArticle
ISSN1556-1801
Mots-clésModel 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.

DOI10.3934/nhm.2019005