Predictive Control of Plantarflexor Muscle-Tendon Force During Simulated Human Hopping

Mahdi Nabipour*, Gregory Sawicki, M. Sartori

*Corresponding author for this work

Research output: Contribution to conferenceAbstractAcademic

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Abstract

Assistive devices (e.g., exoskeletons) could be used to steer a user’s musculotendon unit (MTU) loading in vivo. A challenge is to develop a control algorithm that is simple enough to enable fast computation and adaptable enough to handle different gait patterns. Here, we propose a nonlinear model predictive control (NMPC) approach to maintain a predefined threshold tendon force within the plantarflexor muscle-tendon complex during simulated human hopping.
Original languageEnglish
Number of pages1
Publication statusPublished - 2023
Event28th Congress of the European Society of Biomechanics, ESB 2023: Combining data- and knowledge-driven modeling: from measurements, through insights to decisions - MECC, Maastricht, Netherlands
Duration: 9 Jul 202312 Jul 2023
Conference number: 28
https://esbiomech.org/conference/esb2023/

Conference

Conference28th Congress of the European Society of Biomechanics, ESB 2023
Abbreviated titleESB 2023
Country/TerritoryNetherlands
CityMaastricht
Period9/07/2312/07/23
Internet address

Keywords

  • Model predictive control
  • Plantarflexor
  • Musculotendon units
  • Control
  • Tendon force
  • Modeling
  • Closed-form
  • Closed-form solutions
  • Muscle force
  • prediction

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