The fifth generation process control architecture

<p><span>The article considers the technology of frequency multiplexing with universal filtering UFMC, planned to be introduced in the fifth generation of mobile communication networks, which allows maximizing the rate of decay of the side lobes of the multifrequency signal spectrum that cause out-of-band emissions. As a method of investigation, a computational experiment was chosen. The parameters of the OFDM and UFMC signals were compared to determine the gain of the UFMC technology in the occupied bandwidth of the signal spectrum, as well as the number of arithmetic operations, required to generate a data symbol compared to the OFDM technology, on the basis of which, conclusions were made about the practical application of UFMC technology in networks mobile communication of the fifth generation. The conducted analysis can help to select the optimal number of sub-channels in groups in order to minimize the amount of computations during the UFMC symbol generation process.</span></p>

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Speech Generation Process Control Using Sensory Feedback Mechanism

Philological Sciences Issues of Theory and Practice ◽

10.30853/phil210024 ◽

2021 ◽

pp. 558-562

Author(s):

Alexander Shlemovich Kaganov ◽

Keyword(s):

Process Control ◽

Sensory Feedback ◽

Feedback Mechanism ◽

Generation Process ◽

Speech Generation

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Adaptive proportional–integral controller using OLE for process control for industrial applications

International Journal of Advanced Robotic Systems ◽

10.1177/1729881417728467 ◽

2017 ◽

Vol 14 (5) ◽

pp. 172988141772846 ◽

Cited By ~ 2

Author(s):

Marco A Paz ◽

Tania A Ramirez-delReal ◽

Suselle C Garibo ◽

Dejanira Araiza-Illan ◽

Carlos A DeLuna-Ortega ◽

...

Keyword(s):

Adaptive Control ◽

Process Control ◽

Dynamic Performance ◽

Adaptive Controller ◽

Industrial Applications ◽

Control Architecture ◽

Proportional Integral ◽

Second Order Systems ◽

Hardware Platforms ◽

Ole For Process Control

This article presents an implementation of an adaptive control architecture, which provides the combined advantages of better dynamic performance compared to other conventional industrial controllers, and the use of widely available hardware in process industry. Adaptive control architecture uses proportional–integral action and dynamic computation of the controller’s gains (self-tuning regulator), to maintain performance specifications, even in the presence of parametric disturbances. This architecture offers advantages over other advanced embedded control systems implemented on industrial programmable logic controllers and other hardware platforms. Implementation of controllers on industrial hardware platforms is possible through the Object Linking and Embedding (OLE) for process control communication standard. The implementation for an adaptive controller here proposed was evaluated through experiments using first-order and overdamped second-order systems emulated by hardware-in-the-loop, with a programmable automation controller. Performance of the adaptive controllers was compared to that of conventional proportional–integral controllers, and effectiveness of the former over the latter was demonstrated through the experiments carried out.

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