Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 157 tok/s
Gemini 2.5 Pro 46 tok/s Pro
GPT-5 Medium 31 tok/s Pro
GPT-5 High 33 tok/s Pro
GPT-4o 88 tok/s Pro
Kimi K2 160 tok/s Pro
GPT OSS 120B 397 tok/s Pro
Claude Sonnet 4.5 35 tok/s Pro
2000 character limit reached

Finite Time Robust Control of the Sit-to-Stand Movement for Powered Lower Limb Orthoses (1805.09914v1)

Published 24 May 2018 in cs.SY

Abstract: 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.

Citations (3)

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.