Weiß A, Lluch È, Koelewijn A (2026)
Publication Language: English
Publication Type: Journal article
Publication year: 2026
DOI: 10.1080/10255842.2026.2640432
Open Access Link: https://www.tandfonline.com/doi/full/10.1080/10255842.2026.2640432#abstract
Biomechanical simulations based on optimal control provide valuable insights into muscle-driven locomotion when incorporating muscle-tendon dynamics. However, the influence of discretization methods in direct collocation for musculoskeletal simulations remains unexplored. We systematically evaluated six implicit Runge-Kutta schemes across gait tasks, dimensionalities, discretizations, and collocation densities. Radau IIa consistently minimized dynamic errors and outperformed Lobatto IIIc and Euler due to its numerical stability. Repeated-measures ANOVA showed significant method–node interactions. Backward Euler was fastest but least dynamically consistent, while two-stage Radau IIa offered a practical trade-off between dynamic consistency and computational effort. This paper provides guidelines for efficient optimal control in musculoskeletal modeling with implicit muscle dynamics.
APA:
Weiß, A., Lluch, È., & Koelewijn, A. (2026). Radau to the rescue: efficient and accurate discretization for optimal control simulations of running. Computer Methods in Biomechanics and Biomedical Engineering. https://doi.org/10.1080/10255842.2026.2640432
MLA:
Weiß, Alexander, Èric Lluch, and Anne Koelewijn. "Radau to the rescue: efficient and accurate discretization for optimal control simulations of running." Computer Methods in Biomechanics and Biomedical Engineering (2026).
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