Evidence map›Paper›PMID 40528451›Full record

ArticleJournal of the Royal Society, Interface2025

Adjoint sensitivity method for parameter estimation: applications to inverted pendulum and human standing balance.

Jingtian Chen, Shaoyi Lu, Li Zhang, Tamas Insperger, Gabor Stepan

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Article in Journal of the Royal Society, Interface, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jingtian ChenState Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, People's Republic of China.
Shaoyi LuState Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, People's Republic of China.
Li ZhangState Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, People's Republic of China.ORCID 0000-0001-6077-9093
Tamas InspergerDepartment of Applied Mechanics, Budapest University of Technology and Economics, Budapest, Hungary.ORCID 0000-0001-7518-9774
Gabor StepanDepartment of Applied Mechanics, Budapest University of Technology and Economics, Budapest, Hungary.

Funding

HUN-REN Hungarian Research NetworkNational Natural Science Foundation of ChinaNemzeti Kutatási Fejlesztési és Innovációs Hivatal
6 · The paper itself

Abstract

The inverted pendulum, a classical mechanical system, often serves as a platform for studying stability and control algorithms. Modelling human standing balance as an inverted pendulum controlled by the time-delayed proportional-derivative (PD) feedback controller can be used effectively to study the related biomechanical mechanisms. In this study, to investigate the human balance control strategy, an adjoint sensitivity analysis method and a corresponding optimizer are implemented to directly determine system parameters, control gains and the time delay in the human balancing model. This study validates the accuracy of the optimizer through numerical simulations and experimental verification based on the physical model of the inverted pendulum on a cart. The experimental results confirm the performance of the identification algorithm for systems involving non-smooth dynamics and inherent time delays. Moreover, the identification based on human balance data indicates that the time-delayed PD feedback controller effectively represents the human balance control strategy. Additionally, the identification reveals a tendency in the control strategy: the control gains are located in the lower-left region of the stability diagram, indicating that the human body tends to adopt an optimal control strategy that minimizes energy consumption.

Indexed as

Models, BiologicalPostural BalanceAlgorithmsBiomechanical PhenomenaHumansadjoint sensitivity analysishuman balance controlinverted pendulumparameter identificationtime delay system

Identifiers

PMID40528451
PMCPMC12174935

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.