Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Mojtaba A. Khanesar"'
Publikováno v:
Energies, Vol 17, Iss 14, p 3434 (2024)
The output processer of interval type-2 fuzzy logic systems (IT2FLSs) is a complex operator which performs type-reduction plus defuzzification (TR+D) tasks. In this paper, a complexity-reduced yet high-performance TR+D for IT2FLSs based on Maclaurin
Externí odkaz:
https://doaj.org/article/ba45f8202f7d4741b884a22f6841e485
Publikováno v:
Sensors, Vol 23, Iss 12, p 5368 (2023)
Precision object handling and manipulation require the accurate positioning of industrial robots. A common practice for performing end effector positioning is to read joint angles and use industrial robot forward kinematics (FKs). However, industrial
Externí odkaz:
https://doaj.org/article/39fc04dddda04f6dbf6f8eeca66e0177
Autor:
Mojtaba A. Khanesar, Minrui Yan, Mohammed Isa, Samanta Piano, Mohammad A. Ayoubi, David T. Branson
Publikováno v:
Machines, Vol 11, Iss 4, p 497 (2023)
This paper proposes a calibration algorithm to improve the positional accuracies of an industrial XY-linear stage. Precision positioning of these linear stages is required to maintain highly accurate object handling and manipulation. However, due to
Externí odkaz:
https://doaj.org/article/29fb5e221ed649cb9a44e04fe149e5e0
Autor:
Mojtaba Ahmadieh Khanesar, Minrui Yan, Wahyudin P. Syam, Samanta Piano, Richard K. Leach, David T. Branson
Publikováno v:
IEEE/ASME Transactions on Mechatronics. :1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27eb8ab4beecd541fcee58d4ea18fd28
https://doi.org/10.1109/tmech.2023.3262644
https://doi.org/10.1109/tmech.2023.3262644
Publikováno v:
Energies, Vol 15, Iss 5, p 1876 (2022)
This paper presents a sliding mode fuzzy control approach for industrial robots at their static and near static speed (linear velocities less than 5 cm/s). The extended Kalman filter with its covariance resetting is used to translate the coordinates
Externí odkaz:
https://doaj.org/article/6cdf12b19f4746b2b65289d0c5f80cb5
Publikováno v:
Sensors; Volume 23; Issue 12; Pages: 5368
Precision object handling and manipulation require the accurate positioning of industrial robots. A common practice for performing end effector positioning is to read joint angles and use industrial robot forward kinematics (FKs). However, industrial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::b1f002fc777a0b904c7c25b902c9bd8d
Publikováno v:
Energies, Vol 14, Iss 12, p 3591 (2021)
Establishing accurate electrical load prediction is vital for pricing and power system management. However, the unpredictable behavior of private and industrial users results in uncertainty in these power systems. Furthermore, the utilization of rene
Externí odkaz:
https://doaj.org/article/565ef601af4f4d2da2b848b0bd5e674f
Publikováno v:
Applied Sciences, Vol 10, Iss 18, p 6451 (2020)
Industry 4.0 is the fourth generation of industry which will theoretically revolutionize manufacturing methods through the integration of machine learning and artificial intelligence approaches on the factory floor to obtain robustness and speed-up p
Externí odkaz:
https://doaj.org/article/f0d6541bd49a4611a255dd6b5de3e6ca
Publikováno v:
International Journal of Aerospace Engineering, Vol 2017 (2017)
A learning control strategy is preferred for the control and guidance of a fixed-wing unmanned aerial vehicle to deal with lack of modeling and flight uncertainties. For learning the plant model as well as changing working conditions online, a fuzzy
Externí odkaz:
https://doaj.org/article/03444dd8cc9d4c9b83c4c3e6ab232233
Publikováno v:
International Journal of Fuzzy Systems. 22:351-367
Fuzzy neural networks, with suitable learning strategy, have been demonstrated as an effective tool for online data modeling. However, it is a challenging task to construct a model to ensure its quality and stability for non-stationary dynamic system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::642149fb5dd90af45698f2ac4b735638
https://doi.org/10.1007/s40815-019-00766-z
https://doi.org/10.1007/s40815-019-00766-z