Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Anh Tuan Vo"'
Publikováno v:
IEEE Access, Vol 10, Pp 41973-41985 (2022)
Our paper investigates complex modified function projective lag synchronization with fixed-time stability guarantees for hyperchaotic systems via a FxTC proposal. The synchronization of complex hyperchaotic systems and the desired performance are def
Externí odkaz:
https://doaj.org/article/477d2d8ef8af4d52a9c1970e875b95c0
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8939 (2023)
This paper addresses three significant challenges in controlling robot manipulators: improving response time, minimizing steady-state errors and chattering, and enhancing controller robustness. It also focuses on eliminating the need for computing th
Externí odkaz:
https://doaj.org/article/37ca8aaa37a44c5ead9ad4dc59a3892d
Autor:
Anh Tuan Vo, Tomomi Nakajima, Trang Thi Thu Nguyen, Nguyen Thoi Hai Nguyen, Nga Bich Le, Tri Huu Cao, Dinh Hoang Nguyen
Publikováno v:
Journal of Cardiothoracic Surgery, Vol 16, Iss 1, Pp 1-7 (2021)
Abstract Background Patient-prosthesis mismatch (PPM) is a major concern in aortic valve replacement (AVR) and leads to perioperative morbidity and rehospitalization. Predicting aortic annulus diameter pre-procedurally is crucial to managing patients
Externí odkaz:
https://doaj.org/article/944faf71548d4bfbbd54587e81ea89bc
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2307 (2023)
This paper proposes a fixed-time neural network-based prescribed performance control method (FNN-PPCM) for robot manipulators. A fixed-time sliding mode controller (SMC) is designed with its strengths and weaknesses in mind. However, to address the l
Externí odkaz:
https://doaj.org/article/a194a12834cd4be8a0ff39331ad6710c
Publikováno v:
IEEE Access, Vol 9, Pp 31373-31389 (2021)
This study aims to build a novel tracking control algorithm using a finite-time disturbance observer which obtains fast convergence within a predetermined amount of time and strong stability for a class of second-order nonlinear systems. Firstly, a n
Externí odkaz:
https://doaj.org/article/551b253c495e4d4a99bf81dcbe37618d
Publikováno v:
IEEE Access, Vol 9, Pp 31921-31931 (2021)
We propose a backstepping global fast terminal sliding mode control for trajectory tracking control of industrial robotic manipulators in this article. An integral of the global fast terminal sliding mode surface is firstly suggested to improve the d
Externí odkaz:
https://doaj.org/article/2851440462824914943321a8c6ac2fd5
Publikováno v:
IEEE Access, Vol 9, Pp 47698-47712 (2021)
In this research, a new robust control method is developed, which achieves a fixed-time convergence, robust stabilization, and high accuracy for trajectory tracking control of uncertain magnetic levitation systems. A hybrid controller is a combinatio
Externí odkaz:
https://doaj.org/article/47e79c56cf5e4fe0a8c769b68d10b8e3
Publikováno v:
Machines, Vol 11, Iss 2, p 140 (2023)
This work investigates the issue of a hybrid trajectory tracking control algorithm (HTCA) for robot manipulators (RMs) with uncertain dynamics and the effect of external disturbances. Following are some proposals for achieving the control target. Fir
Externí odkaz:
https://doaj.org/article/e51bd1420d014ec0b2f66697afca66a5
Autor:
Anh Tuan Vo, Hee-Jun Kang
Publikováno v:
IEEE Access, Vol 8, Pp 65383-65394 (2020)
Robotics have been substituting humans increasingly and effectively to operate repeated, dangerous, heavy, complicated works in human life, production industry, and discovery missions. This work designs a Neural Integral Non-singular Fast Terminal Sy
Externí odkaz:
https://doaj.org/article/a046e6aefa9a4040bac222c6faf4e06e
Autor:
Anh Tuan Vo, Hee-Jun Kang
Publikováno v:
IEEE Access, Vol 8, Pp 109388-109400 (2020)
In this study, a novel Fault-Tolerant Control Methodology (FTCM) is developed for robot manipulators. First, to overcome singularity glitch and to enhance convergence time of conventional Terminal Sliding Mode Control (TSMC), a new Fast Terminal Slid
Externí odkaz:
https://doaj.org/article/331acaa560ce4f98b73965e6c43983ae