Home »
Academic Articles & Research Papers
Showing 11 of 11 academic articles
LIU Jianxing, ZHANG Ouyang, MA Xiaolong, CHEN Meng et al. • Nanjing Hangkong Hangtian Daxue Xuebao
(2026)
Free-floating space robots （FFSRs） have emerged as critical unmanned platforms for long-term in-orbit services thanks to their high mobility and extended operational lifespan. However， external disturbances caused by dynamic space environme...
DOAJ
Open Access (DOAJ)
DOI: 10.16356/j.2097-6771.2026.01.015
Zhonglin Guo, Zhijie Liu, Miao Guo, Ke-Jun Li et al. • International Journal of Electrical Power & Energy Systems
(2025)
The single-stage transformerless photovoltaic (PV) topology is an attractive configuration as it offers high efficiency, low installation cost and smaller size. For such a configuration, the control algorithm should be designed to track the...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ijepes.2025.111239
Meng Yuan, Lei Li, Zhezhuang Xu • IEEE Access
(2022)
In biaxial contouring control applications, the inherent structural flexibility of machines can lead to position discrepancies between the manipulator and actuator, and thus deteriorate the manufacturing performance, especially when the con...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3157868
M. Sivaramkrishnan, M. Siva Ramkumar, Kiruthika Balakrishnan, J. Isaac JoshuaRamesh Lalvani • Scientific Reports
(2026)
Abstract An adaptive cruise control (ACC) system has a key role to play in enhancing the safety and stability of autonomous vehicles, along with ensuring improved ride quality through proper management of vehicle velocity and distance betwe...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-69261-4
Zhan Yang, Shixin Liu, Linjun Li, Qinkai Chen et al. • SmartBot
(2025)
ABSTRACT The evolution from passive nanoscale observation to active robotic manipulation represents a paradigm shift in humanity's quest to master matter at the atomic scale. This review systematically traces the historical and conceptual f...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/smb2.12021
M.T. Hagan, H.B. Demuth • Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
(1999)
Provides a quick overview of neural networks and explains how they can be used in control systems. We introduce the multilayer perceptron neural network and describe how it can be used for function approximation. The backpropagation algorit...
OPENALEX
DOI: https://doi.org/10.1109/acc.1999.786109
Yang Yu, Jiali Li, Dongyang Chen • Global Energy Interconnection
(2022)
Effective source–load prediction and reasonable dispatching are crucial to realize the economic and reliable operations of integrated energy systems (IESs). They can overcome the challenges introduced by the uncertainties of new energies an...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.gloei.2022.10.010
Jefferson S. Costa, Angelo Lunardi, Alessio Iovine, Darlan Alexandria Fernandes et al. • IEEE Access
(2025)
Model predictive control (MPC) has emerged as a highly regarded control strategy in power electronics for renewable energy applications. While it minimizes tracking errors and control effort, a significant challenge is the lack of systemati...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3603336
Robert Jane, Tae Young Kim, Emily Glass, Emilee Mossman et al. • Energies
(2021)
To ensure dominance over a multi-domain battlespace, energy and power utilization must be accurately characterized for the dissimilar operational conditions. Using MATLAB/Simulink in combination with multiple neural networks, we created a m...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en14196049
Xiaolong Tang, Changjie Wu, Xiaoyan Xu • Journal of Marine Science and Engineering
(2022)
The steering mechanism of ship steering gear is generally driven by a hydraulic system. The precise control of the hydraulic cylinder in the steering mechanism can be achieved by the target rudder angle. However, hydraulic systems are often...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jmse10122033
Yong Wang, Hongwen He, Yuankai Wu, Pei Wang et al. • Engineering
(2025)
An effective energy management strategy (EMS) is essential to optimize the energy efficiency of electric vehicles (EVs). With the advent of advanced machine learning techniques, the focus on developing sophisticated EMS for EVs is increasin...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.eng.2024.10.021