On the Need to Create Intelligent Control Systems for Systems with a Critical Mission

Происходящие в мире события свидетельствуют о возрастании угрозы перехвата управления системами с критической миссией (СКМ). Приводятся конкретные примеры инцидентов, один из них — массовые отключения электроэнергии в Венесуэле. Обосновывается необходимость разработки технологии создания цифровых систем управления, обеспечивающей парирование угрозы перехвата управления и нештатного функционирования систем с критической миссией. В основе этой технологии — концепция цифровых двойников объектов управления цифровых систем управления этими объектами, включая все аппаратные и программные компоненты, а также интеллектуальные средства самоконтроля и самокоррекции функционирования элементной базы, вычислительной и коммуникационной техники, базового и прикладного программного обеспечения. There is an ongoing threat of control interception in mission-critical systems (MCS). Specific examples of such incidents are presented, one of them is the massive power outages in Venezuela. We specify the reasons for creating an approach to developing digital control systems for MCS resistant to control interception and abnormal functioning. This technology is based on the digital twin concept. A twin represents all the hardware and software components, as includes smart tools for the hardware, core and application software self-monitoring and self-correction.  

Application of a Mobile Robot for Picking Berries Under Qualitative Uncertainty of Conditions

Over the last decade, the development of computer technology has progressed significantly, which allowed to automate many production processes through the use of intelligent control systems. The possibility of creating modern control systems that allow solving complex multi-factor tasks in conditions of uncertainty has significantly expanded the scope of application of robotics. The article considers an approach to solving one of the tasks of controlling an intelligent mobile robot for agricultural purposes – selecting the order of application of the robot for picking berries. The procedure for decision-making by an intelligent control system for a mobile robot under the qualitative uncertainty of berry picking conditions has been developed. This procedure can be implemented by developing software. The approach proposed by the authors to solving such problems can be used not only for control the intelligent mobile robot for picking berries, but also for other purposes. The article presents the results of applying the developed method for solving the task of control the agricultural mobile robot for picking strawberry in the climatic conditions of Central Russia.

Intelligent control systems using algorithms of the entropie potential method

As part of neural network systems, an artificial neural network can perform various functions like diagnostics of technological equipment, control of moving objects and technological processes, forecasting situations, as well as assessing the state and monitoring of technological processes.

Iot Technology-Based Smart Distribution Framework for the Recognition of Vulnerabilities

The Internet of Things (IoT) transforms everybody’s life through functionality like control and tracking of linked intelligent devices. Smart towns, houses, vehicles, factories, e-healthcare to intelligent control systems, commuting, clothing, agriculture, and many more size IoT applications. The adaptation of these instruments is increasing rapidly, generating considerable data for visualization and interpretation. These systems are also vulnerable to various security risks and issues alongside easy human life, which not only concern consumers for their adoption in sensitive environments such as e-health, smart homes, and so on but also represent a risk for IoT nutrition in the next few days. The Internet of Things (IoT) transforms everybody’s life through functions like the tracking and surveillance of the associated intelligent objects. Smart cities, houses, vehicles, factories, e-healthcare, commuting, wearable tech, agriculture, and more are all IoT technologies. The adaptation of such instruments is exponentially increasing, which produces considerable data for processing and analysis. These systems are thus vulnerable to various threats and safety challenges alongside facilitating human life, not only causing concern to the consumers for their use in centralized locations including such e-health and intelligent home, etc but also posing a risk to IoT nutrition in the coming days. Moreover, a detailed competitive study between the suggested technique and other related schemes reveals that a better deal is reached with the suggested Method in comparison with other schemes between the safety and accessibility features, connectivity, and computing costs.

Peculiarities of development intelligent control systems for the production of entomophages

The article reveals the features of the development of intelligent control systems for the production of entomophages, the relevance of the selected research area is determined. The aim of the study was to substantiate the feasibility of using intelligent control systems in the production of entomophages. Object of research – management process the cultivation of caterpillars Ephestia kuehniella in a specialized box in the production of entomophage Habrobracon hebetor. Research methods – systems approach, data mining, semantic modeling, situational management. A structural diagram of a hybrid intelligent system for controlling the air temperature of a box for growing entomocultures has been developed; knowledge representation model in relation to the construction of a hybrid intelligent control system in the form of a predicate semantic network. The production rules of the knowledge base of the intelligent control system have been developed, which allow to clarify the process of its creation. At the same time, attention is focused on: the sequence of formation of the training sample, which affects the accuracy of control of the air temperature of the box and, accordingly, the costs of electricity; use of ANFIS-editor MATLAB, which developed a self-learning neural network that automatically created a knowledge base regarding dependency the temperature setting of the meter-controller from the error of air temperature regulation. The expediency of using intelligent control systems in the production of entomophages has been scientifically substantiated. Formalized process of creating a hybrid intelligent box air temperature control system for growing entomocultures in the form of a predicate semantic network using production rules. The abovementioned makes it possible to systematize knowledge in relation to the processes of managing the production of entomophages, improve energy efficiency and the level of automation of the production process, which has a positive effect on both the state of the biological component of the object and the economy of the enterprise. The research results were introduced in the laboratory production of the entomophage Habrobrakon hebetor.

A novel model for optimization of Intelligent Multi-User Visual Comfort System based on soft-computing algorithms

Intelligent buildings are at the forefront due to its main objective of providing comfort to users and saving energy through intelligent control systems. Intelligent systems have been reported to offer comfort to a single user or averaging the comfort of multiple users without considering that their needs may be different from those of other users. This work defines a versatile model for a multi-user intelligent system that negotiates with the resources of the environment to offer visual comfort to multiple users with different profiles, activities and priorities using soft-computing algorithms. In addition, this model makes use of external lighting to provide the recommended amount of illumination for each user without having to totally depend on artificial lighting, inducing there will be an energy efficiency but without measuring it.