Zobrazeno 1 - 10
of 1 179
pro vyhledávání: '"adaptive neural network"'
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 627-635 (2024)
In previous studies, structure vibration control mainly focused on integer-order systems or commensurate fractional-order (FO) dynamics systems. In this paper, we propose an adaptive radial basis function (RBF) neural network feedback (ARBF-FK) contr
Externí odkaz:
https://doaj.org/article/acdf38b57e664911aa3921fd41d170d6
Publikováno v:
Water Research X, Vol 24, Iss , Pp 100245- (2024)
Advanced controllers often offer an innovative solution to proper quality control in wastewater treatment processes (WWTPs). However, nonlinearity and uncertain disturbances usually make the conventional control strategies inadequate or impossible fo
Externí odkaz:
https://doaj.org/article/3bd3a56b5a4841dd8c69a6210c3b978a
Publikováno v:
Industrial Robot: the international journal of robotics research and application, 2024, Vol. 51, Issue 1, pp. 20-33.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IR-09-2023-0196
Publikováno v:
Drones, Vol 8, Iss 10, p 560 (2024)
The unmanned quad tilt-rotor eVTOL (QTRV) is a variable-configuration aircraft that combines the features of vertical takeoff and landing (VTOL), hovering, and high-speed cruising, making its control system design particularly challenging. The flight
Externí odkaz:
https://doaj.org/article/85506a7c4337443fab8e943660a5c7f4
Publikováno v:
Drones, Vol 8, Iss 9, p 467 (2024)
This paper presents a fixed-time fault-tolerant adaptive neural network control scheme for the Twin-Rotor Multi-Input Multi-Output System (TRMS), which is challenging due to its complex, unstable dynamics and helicopter-like behavior with two degrees
Externí odkaz:
https://doaj.org/article/7d0d4ebc6e0048ee876472fc646dd9a3
Publikováno v:
Polish Maritime Research, Vol 30, Iss 3, Pp 119-131 (2023)
An adaptive neural network (NN) event-triggered trajectory tracking control scheme based on finite time convergence is proposed to address the problem of trajectory tracking control of underdriven surface ships. In this scheme, both NNs and minimum l
Externí odkaz:
https://doaj.org/article/538468f8cb2e4378923a4f70be510a2c
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 6, Pp 7495-7510 (2023)
Abstract A novel neural adaptive integral terminal sliding mode control for decentralized fault-tolerant control strategy, including the integral terminal sliding mode surface, the nonlinear disturbance observer, the radial basis neural network and r
Externí odkaz:
https://doaj.org/article/28a74b5d082b4095a76969388bb2744f
Publikováno v:
Mathematics, Vol 12, Iss 12, p 1880 (2024)
This study designed an adaptive neural network (NN) control method for a category of multi-robotic systems with parametric uncertainties. In practical engineering applications, systems commonly face design challenges due to uncertainties in their par
Externí odkaz:
https://doaj.org/article/cc70f4bbcb7b4d9cace91ce3fad62934
Publikováno v:
IEEE Open Journal of Nanotechnology, Vol 4, Pp 181-194 (2023)
Machine learning (ML) is poised to play an important part in advancing the predicting capability in semiconductor device compact modeling domain. One major advantage of ML-based compact modeling is its ability to capture complex relationships and pat
Externí odkaz:
https://doaj.org/article/3e79a3762dfe400e8c75ebe7bf0c5da3
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 123, Iss , Pp 103482- (2023)
Deep learning has dominated hyperspectral image (HSI) classification due to its modular design and powerful feature extraction capabilities. Recently, a modern macro-architecture-based framework with high-order feature interactions has been proposed,
Externí odkaz:
https://doaj.org/article/edc52ef42f014c6087af1e7c781bce9f