A Model of Self-oscillations in Relay Outputs Control Systems with Elements of Artificial Intelligence

Author(s):  
R. H. Rovira ◽  
V. M. Duvoboi ◽  
M. S. Yukhimchuk ◽  
M. M. Bayas ◽  
W. D. Torres
2021 ◽  
Vol 2066 (1) ◽  
pp. 012057
Author(s):  
Nan Li

Abstract Artificial intelligence technology (A I T) has also been widely used in society. Combining A I T with mechanical and electrical control systems will bring huge profits to the corporate sector and greatly improve work efficiency. It can save a lot of money in the electrical control operations of all walks of life in the country, and fill the gap in this technology in the country. The purpose of this article is to study the application of A I T in mechanical electrical control systems (M E C S). This article first introduces the basic theories and concepts of A I T, extends the core technology of A I T, and combines the current status of the electrical control system of modern enterprises in our country to discuss its existing problems, and finally studies and analyzes A I T and machinery. Combination of electrical control systems, and discuss the application of A I T in mechanical electrical orifice subsystems. Experiments show that, compared with the existing M E C S, the M E C S using A I T can better complete the work and improve work efficiency.


2020 ◽  
Vol 1 (25(52)) ◽  
pp. 39-52
Author(s):  
Alexander Arsenievich Petrov

The development of artificial intelligence accelerated the development and application of smart sensors and human observation and study systems, and the establishment of continuous monitoring of it using various sources. The financial industry has always sought to collect as much data as possible about its customers. Many countries have begun to create population control systems. China leads the development of such a system. In 2020, Russia launched a digital citizen profile system, which should ensure high-quality interaction between the population, the business community and the state through the collection, processing, archiving and analysis of information from public and private sources. How the system will be used: in the name of Good or Evil depends on those who make the decision and use it. The main carrier of information about oneself is the person himself.


SIMULATION ◽  
1988 ◽  
Vol 50 (1) ◽  
pp. 12-24 ◽  
Author(s):  
Y. Lirov ◽  
E.Y. Rodin ◽  
B.G. McElhaney ◽  
L.W. Wilbur

2021 ◽  
Vol 4 (2) ◽  
pp. 125-144
Author(s):  
Natalia Mironova

The digital transformation of processes and control systems in the last decade has been accompanied by the introduction of artificial intelligence technologies. The purpose of this study is to investigate the conditions for the safe use of intelligent technologies and tools for managing social infrastructure. The research methodology bases on an integrated approach, comparative analysis, and logical synthesis. The author suggests a philosophical analysis of existential risks of intellectual automation of social management and the mechanisms of their implementation, and also investigates the conditions for a safer use of technologies for intelligent automation of socially significant decisions. Generalized measures and search directions are proposed to reduce a number of risks associated with intelligent automation of control.


The focus of algorithmic design is to solve composite problems. Intelligent systems use intellectual concepts like evolutionary computation, artificial neural networks, fuzzy systems, and swarm intelligence to process natural intelligence models. Artificial intelligence is used as a part of intelligent systems to perform logic- and case-based reasoning. Systems like mechanical and electrical support systems are operated by utilizing Supervisory Control and Data Acquisition (SCADA) systems. These systems cannot accomplish their purpose, provided the control system deals with the reliability of it. In CPSs, dimensions of physical processes are taken by sensors and are processed in cyber subsystems to drive the actuators that affect the physical processors. CPSs are closed-loop systems. The adaptation and the prediction are the properties to be followed by the control strategies that are implemented in cyber subsystems. This chapter explores cyber physical control systems.


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