Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Xuan-Toa Tran"'
Observer-Based Fault-Tolerant Control for Uncertain Robot Manipulators without Velocity Measurements
Publikováno v:
Actuators, Vol 13, Iss 6, p 207 (2024)
In recent years, robot manipulator arms have become increasingly prevalent and are playing pivotal roles across various industries. Their ability to replace human labor in arduous and hazardous tasks has positioned them as indispensable assets. Conse
Externí odkaz:
https://doaj.org/article/fbdcf9de525547d3a789ac0e2a810dd6
Publikováno v:
IEEE Access, Vol 8, Pp 149952-149962 (2020)
This article proposes a synchronization technique for uncertain hyperchaotic systems in the modified function projective manner using integral fast terminal sliding mode (I-FTSM) and adaptive second-order sliding mode algorithm. The new I-FTSM manifo
Externí odkaz:
https://doaj.org/article/01092f4b0f844ee6b5bd6fdb45352227
Publikováno v:
Actuators, Vol 11, Iss 9, p 259 (2022)
In this paper, a novel fault-tolerant control tactic for robot manipulator systems using only position measurements is proposed. The proposed algorithm is constructed based on a combination of a nonsingular fast terminal sliding mode control (NFTSMC)
Externí odkaz:
https://doaj.org/article/df16ab3783cc470da3a18b1c13e69718
Publikováno v:
Machines, Vol 9, Iss 12, p 345 (2021)
Feature extraction from a signal is the most important step in signal-based fault diagnosis. Deep learning or deep neural network (DNN) is an effective method to extract features from signals. In this paper, a novel vibration signal-based bearing fau
Externí odkaz:
https://doaj.org/article/2f2edb95ebde4cfe8588f0633d5009f6
Autor:
Xuan-Toa Tran, Hee-Jun Kang
Publikováno v:
Complexity, Vol 2017 (2017)
A novel fixed-time controller is proposed to perform fixed-time complex modified function projective lag synchronization of chaotic (hyperchaotic) complex systems. The synchronization is obtained after a finite time that could be preestablished witho
Externí odkaz:
https://doaj.org/article/fa125c3b0748485c956595815ecd3ca0
Autor:
Xuan-Toa Tran, Hee-Jun Kang
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 11 (2014)
In this paper, an arbitrary finite-time tracking control (AFTC) method is developed for magnetic levitation systems with uncertain dynamics and external disturbances. By introducing a novel augmented sliding-mode manifold function, the proposed metho
Externí odkaz:
https://doaj.org/article/4e5e9de47a5a492d97788e1576607488
Publikováno v:
Sensors, Vol 21, Iss 1, p 244 (2021)
This paper presents a novel method for fusing information from multiple sensor systems for bearing fault diagnosis. In the proposed method, a convolutional neural network is exploited to handle multiple signal sources simultaneously. The most importa
Externí odkaz:
https://doaj.org/article/0f6d26b87d2845b0acf54faa5fe503bd
Autor:
Hyondong Oh, Xuan-Toa Tran
Publikováno v:
ISA Transactions. 109:72-80
This paper introduces a modified second order sliding mode algorithm with fixed-time stability analysis based on the Lyapunov function approach. An existing second order sliding mode algorithm is generalized, which provides superior features on conve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e6bb52da11fe3132c59879deab09a4d
https://doi.org/10.1016/j.isatra.2020.10.021
https://doi.org/10.1016/j.isatra.2020.10.021
Publikováno v:
Journal of Intelligent & Robotic Systems. 100:1195-1211
This paper proposes a vision-based bike trail following approach with obstacle avoidance using CNN (Convolutional Neural Network) for the UAV (Unmanned Aerial Vehicle). The UAV is controlled to follow a given trail while keeping its position near the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb67f3df028565067da6ceb9aa07fa70
https://doi.org/10.1007/s10846-020-01254-5
https://doi.org/10.1007/s10846-020-01254-5
Autor:
Hyondong Oh, Xuan-Toa Tran
Publikováno v:
Journal of the Franklin Institute. 357:3451-3468
This paper presents the solution for synchronizing of perturbed Genesio–Tesi systems in finite time. A new homogeneous high order sliding mode control approach is introduced ensuring the finite-time synchronization despite perturbations in the cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32de5ce7b17b71a516aa54d78db2c605
https://doi.org/10.1016/j.jfranklin.2019.12.037
https://doi.org/10.1016/j.jfranklin.2019.12.037