SYSYMay 24, 2018

Finite Time Robust Control of the Sit-to-Stand Movement for Powered Lower Limb Orthoses

arXiv:1805.099143 citationsh-index: 55
Originality Synthesis-oriented
AI Analysis

This addresses safe control of assistive devices for individuals with mobility impairments, but the improvement is incremental over existing methods.

The study develops a finite-time robust control technique for powered lower limb orthoses during Sit-to-Stand movement, selecting LQR gains to minimize robust performance metrics under parameter uncertainty. Simulations show improved robustness compared to prior work.

This study presents a technique to safely control the Sit-to-Stand movement of powered lower limb orthoses in the presence of parameter uncertainty. The weight matrices used to calculate the finite time horizon linear-quadratic regulator (LQR) gain in the feedback loop are chosen from a pool of candidates as to minimize a robust performance metric involving induced gains that measure the deviation of variables of interest in a linear time-varying (LTV) system, at specific times within a finite horizon, caused by a perturbation signal modeling the variation of the parameters. Two relevant Sit-to-Stand movements are simulated for drawing comparisons with the results documented in a previous work.

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