Zobrazeno 1 - 10
of 4 753
pro vyhledávání: '"network control"'
Autor:
Antonín Bohačík, Radek Fujdiak
Publikováno v:
Smart Cities, Vol 7, Iss 5, Pp 2702-2740 (2024)
The use of digital twins (DTs) in the electric power industry and other industries is a hot topic of research, especially concerning the potential of DTs to improve processes and management. This paper aims to present approaches to the creation of DT
Externí odkaz:
https://doaj.org/article/003d50f7ca944061b578999fd3e99637
Autor:
Michał Czuba, Mateusz Nurek, Damian Serwata, Yu-Xuan Qiu, Mingshan Jia, Katarzyna Musial, Radosław Michalski, Piotr Bródka
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 3, Pp 637-654 (2024)
With the advancement of computational network science, its research scope has significantly expanded beyond static graphs to encompass more complex structures. The introduction of streaming, temporal, multilayer, and hypernetwork approaches has broug
Externí odkaz:
https://doaj.org/article/ec720e44c5ce4502b1438f4dac6733ec
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 7, Pp 43-48 (2024)
Objective To achieve reliable control of traction and braking key systems in trains while suppressing the impact of communication delay on train control, a discrete RBF (radial basis function) adaptive robust sliding mode control (abbreviated as ARSM
Externí odkaz:
https://doaj.org/article/86d8821bd0bd49208ca11ee39f096186
Publikováno v:
Discrete and Continuous Models and Applied Computational Science, Vol 32, Iss 1, Pp 86-98 (2024)
The blockage of the propagation path is one of the major challenges preventing the deployment of fifth-generation New Radio systems in the millimeter-wave band. To address this issue, the Integrated Access and Backhaul technology has been proposed as
Externí odkaz:
https://doaj.org/article/8230a4bd02d6421ebca47e2311d27801
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 2024, Iss 2, Pp 85-97 (2024)
In modern telecommunications and computer networks, efficient and reliable information collection is essential for effective decision-making and control task resolution. Current methods, such as periodic data transmission, event-driven data collectio
Externí odkaz:
https://doaj.org/article/b5a2564f76e64472b1ac8eacf957d733
Autor:
Gianluca Bianchin, Fabio Pasqualetti
Publikováno v:
IEEE Open Journal of Control Systems, Vol 3, Pp 239-252 (2024)
Advanced traffic navigation systems, which provide routing recommendations to drivers based on real-time congestion information, are nowadays widely adopted by roadway transportation users. Yet, the emerging effects on the traffic dynamics originatin
Externí odkaz:
https://doaj.org/article/6624b85b7fdc444d9136b15d093f18af
Autor:
Wentong Zhang, Bo Yu
Publikováno v:
Actuators, Vol 13, Iss 9, p 366 (2024)
An adaptive predefined-time quantized control issue is considered for strict-feedback systems with actuator quantization. To handle the unknown nonlinearities of a system, the neural networks are first applied to model them. To analyze the predefined
Externí odkaz:
https://doaj.org/article/ea0c0cf63ea544de8365b199f36286f6
Autor:
Suxia Wang, Yong Chen
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26870- (2024)
In this paper, neural network control of fractional order chaotic systems (FOCSs) with input saturation and unknown sign of the controller gain is addressed by employing the Nussbaum function, where neural networks are utilized to model system uncert
Externí odkaz:
https://doaj.org/article/59ee8f46a85447559d34ebc517e8b62d
Autor:
Takialddin Al Smadi, Ahmed Handam, Khalaf S Gaeid, Adnan Al-Smadi, Yaseen Al-Husban, Al smadi Khalid
Publikováno v:
Results in Control and Optimization, Vol 14, Iss , Pp 100343- (2024)
Renewable energy systems, such as photovoltaic (PV) systems, have become increasingly significant in response to the pressing concerns of climate change and the imperative to mitigate carbon emissions. When static converters are used in solar power s
Externí odkaz:
https://doaj.org/article/a3052bd8b1644ecca6338024343fd95c
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