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Fuzzy unknown input observer for understanding sitting control of persons living with spinal cord injury

Abstract : The present paper introduces a simple model to study sitting control for persons with complete thoracic spinal cord injury. The system is obtained via Lagrangian techniques; this procedure leads to a nonlinear descriptor form, which can be written as a TakagiSugeno model. A first attempt to estimate the sitting control in disabled people is done via an unknown input observer. The conditions are expressed as linear matrix inequalities, which can be efficiently solved. Simulation results validate the proposed methodology as the observations are coherent with and without perturbations.
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https://hal-uphf.archives-ouvertes.fr/hal-03428425
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Submitted on : Monday, November 15, 2021 - 10:29:28 AM
Last modification on : Tuesday, November 16, 2021 - 3:56:49 AM

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Mathias Blandeau, Víctor Estrada Manzo, Thierry-Marie Guerra, Philippe Pudlo, François Gabrielli. Fuzzy unknown input observer for understanding sitting control of persons living with spinal cord injury. Engineering Applications of Artificial Intelligence, Elsevier, 2018, 67, pp.381-389. ⟨10.1016/j.engappai.2017.09.016⟩. ⟨hal-03428425⟩

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