Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Shubhendu Bhasin"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1584-1593 (2023)
Functional electrical stimulation has been widely used in the neurologically disabled population as a rehabilitation method because of its intrinsic and higher ability to activate paralyzed muscles. However, the nonlinear and time-varying nature of t
Externí odkaz:
https://doaj.org/article/2b286f436e3e43d1a5c79ccf3456eb7b
Autor:
Ratna Sambhav, Shreeshan Jena, Ankit Chatterjee, Shubhendu Bhasin, Sushma Santapuri, Lalan Kumar, Suriya Prakash Muthukrishnan, Sitikantha Roy
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Wearable robotic devices are designed to assist, enhance or restore human muscle performance. Understanding how a wearable robotic device changes human biomechanics through complex interaction is important to guide its proper design, parametric optim
Externí odkaz:
https://doaj.org/article/d0c0947ada604e329054ac8e42bc702c
Publikováno v:
IEEE Transactions on Automatic Control. 68:2536-2543
Autor:
Anirudh Nath, Rohit Mehta, Raghvendra Gupta, Supreet Singh Bahga, Amit Gupta, Shubhendu Bhasin
Publikováno v:
IEEE Transactions on Control Systems Technology. 30:2466-2479
Publikováno v:
IEEE Transactions on Automatic Control. 67:4809-4815
A continuous adaptive control design is developed for nonlinear dynamical systems with linearly parameterizable uncertainty involving time-varying uncertain parameters. The key feature of this design is a robust integral of the sign of the error (RIS
Autor:
Anirudh Nath, Rohit Mehta, Raghvendra Gupta, Supreet Singh Bahga, Amit Gupta, Shubhendu Bhasin
Publikováno v:
IFAC-PapersOnLine. 55:541-546
Publikováno v:
IEEE Systems Journal. :1-12
Autor:
Shubhendu Bhasin, Abhishek Dhar
Publikováno v:
IEEE Transactions on Automatic Control. 66:5498-5505
This article addresses the problem of controlling discrete-time linear time-invariant systems with parametric uncertainties in the presence of hard state and input constraints. A suitably designed gradient-descent-based indirect adaptive controller,
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 36:180-197
Model predictive control (MPC) for uncertain systems in the presence of hard constraints on state and input is a non-trivial problem, and the challenge is increased manyfold in the absence of state measurements. In this paper, we propose an adaptive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5379c80b926659198c05b23ba53a14c
http://arxiv.org/abs/2209.08908
http://arxiv.org/abs/2209.08908