Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Subhan Khan"'
Autor:
Subhan Khan, Jose Guivant
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract This paper presents a solution for the tracking control problem, for an unmanned ground vehicle (UGV), under the presence of skid-slip and external disturbances in an environment with static and moving obstacles. To achieve the proposed task
Externí odkaz:
https://doaj.org/article/6cf439b556fb4a90b733a78acf217072
Publikováno v:
Sensors, Vol 23, Iss 14, p 6406 (2023)
This paper introduces a novel method for computationally efficient Gaussian estimation of high-dimensional problems such as Simultaneous Localization and Mapping (SLAM) processes and for treating certain Stochastic Partial Differential Equations (SPD
Externí odkaz:
https://doaj.org/article/3c0ea3baed1846f696a6a5e2a76a82cf
Autor:
Subhan Khan, Jose Guivant
Publikováno v:
IEEE Access, Vol 9, Pp 102069-102080 (2021)
This paper presents a nonlinear model predictive control (NMPC) scheme for the medium-level control of a small-scale autonomous bulldozer to accurately and safely displace crushed materials of masonry in construction contexts. For this purpose, the c
Externí odkaz:
https://doaj.org/article/efb874d438f041fa9a210c890360c22d
Autor:
Baig, Muhammad Akbar, Sheikh, Sadaf, Hussain, Erfaan, Bakhtawar, Samina, Subhan Khan, Muhammad, Mujtaba, Syed, Waheed, Shahan
Publikováno v:
In Turkish Journal of Emergency Medicine December 2018 18(4):148-151
Publikováno v:
Indian Journal of Community Medicine, Vol 44, Iss 2, Pp 118-124 (2019)
Introduction: With the availability of antiretroviral therapy (ART) and subsequent change in the HIV/AIDS disease dynamic to a chronic manageable disease, adherence studies have received increasing attention. However, there is a paucity of studies th
Externí odkaz:
https://doaj.org/article/d9a1a1b1fdf2435fb6bc6810badde5b0
Autor:
Subhan Khan, Jose Guivant
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 8:1787-1799
Publikováno v:
Sunday, April 23.
Publikováno v:
Tuesday, April 25.
Publikováno v:
2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET).
This paper presents an approach for optimizing trajectories of autonomous vehicles in evacuation scenarios, particularly for the transportation of handicapped individuals, animals, and products. First, the hybrid model predictive control (HMPC) techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aa52d0ede2124462cd4c023933398b6
https://doi.org/10.36227/techrxiv.21441690
https://doi.org/10.36227/techrxiv.21441690