scholarly journals Development Prospects of the Software-Hardware Complex of Hierarchical Control Systems

Author(s):  
Viktor F. Grechaninov ◽  
◽  
Anatoliy V. Lopushansky ◽  
Tetiana K. Ieremenko ◽  
◽  
...  

Introduction. Hierarchical control in complex multilevel systems has been studied since the period of classical cybernetics. At that time, basic definitions and concepts were introduced. It is time to start remembering those achievements because those decisions can already be implemented. However, the situation is constantly changing (evolving), so those tasks are perceived differently today. And the question arises as to how these old developments will progress, whether they will be used? Purpose. The purpose of this work is an attempt to predict the development of hierarchical multilevel control systems in the future and how it depends on the latest technologies that determine their software-hardware complex (SHC). Result. The analysis of the essence of the multilevel hierarchical management system, its features and additional requirements for the software-hardware complex, the current state of hierarchical management systems, the impact of advances in IT technologies and theories on the features of hierarchical management are carried out. The current state is studied on the example of NATO hierarchical systems. Based on the forecasts of the development trend of IT technologies, the forecast of trends in changes in hierarchical multilevel control systems is proposed. Conclusions. As a result of the analysis of the essence of hierarchical multi-level management systems, the current state, and forecast of the development of IT technologies, the authors made the following conclusions: – the hierarchical structure of a complex multi-level system will be in demand in the near future; – Hierarchical systems will consist of standard components with elements of artificial intelligence that controls the components; – the process of creating a hierarchical system will be simplified, so it will be possible to use ready-made solutions.

2021 ◽  
Vol 92 ◽  
pp. 79-93
Author(s):  
N. G. Topolsky ◽  
◽  
S. Y. Butuzov ◽  
V. Y. Vilisov ◽  
V. L. Semikov ◽  
...  

Introduction. It is important to have models that adequately describe the relationship between the integral indicators of the functioning of the system with the particular indicators of the lower levels of management in complex control systems, in particular in RSChS. Traditional approaches based on normative models often turn out to be untenable due to the impossibility of covering all aspects of the functioning of such systems, as well as due to the high variability of the environment and the values of the set of target indicators. Recently, adaptive machine-learning models have proven to be productive, allowing build stable and adequate models, one of the variants of which is artificial neural networks (ANN), based on the solution of inverse problems using expert estimates. The relevance of the study lies in the development of compact models that allow assessing the effectiveness of the functioning of complex multi-level control systems (RSChS) in emergency situations, developing according to complex scenarios, in which emergencies of various types can occur simultaneously. Goals and objectives. The purpose of the article is to build and test the technology for creating compact models that are adequate to the system of indicators of the functioning of hierarchically organized control systems. This goal gives rise to the task of choosing tools for constructing the necessary models and sources of initial data. Methods. The research tools include methods for analyzing hierarchical systems, mathematical statistics, machine learning methods of ANN, simulation modeling, expert assessment methods, software systems for processing statistical data. The research is based on materials from domestic and foreign publications. Results and discussion. The proposed technology for constructing a neural network model of the effectiveness of the functioning of complex hierarchical systems provides a basis for constructing dynamic models of this type, which make it possible to distribute limited financial and other resources during the operation of the system according to a complex scenario of emergency response. Conclusion. The paper presents the results of solving the problem of constructing an ANN and its corresponding nonlinear function, reflecting the relationship between the performance indicators of the lower levels of the hierarchical control system (RSChS) with the upper level. The neural network model constructed in this way can be used in the decision support system for resource management in the context of complex scenarios for the development of emergency situations. The use of expert assessments as an information basis makes it possible to take into account numerous target indicators, which are extremely difficult to take into account in other ways. Keywords: emergency situations, hierarchical control system, efficiency, artificial neural network, expert assessments


1970 ◽  
Vol 110 (4) ◽  
pp. 101-104 ◽  
Author(s):  
T. Proscevicius ◽  
A. Bukis ◽  
V. Raudonis ◽  
M. Eidukeviciute

Methods for intelligent mobile robots control which are based on principles of hierarchical control systems will be reviewed in this article. Hierarchical intelligent mobile robots are new direction for development of robotics, which have wide application perspectives. Despite increasing progress in technologies, the main problem of autonomous mobile robots development is that, they are ineffective in their control. In each of the hierarchical control levels (movement in space, problems solving and signal processing sets) will define by specific management of objectives, goals and rules. Communication and management between hierarchies are implemented by higher level of hierarchy using obtained information about the environment and lover level of hierarchy. Studies have shown that artificial neural networks, fuzzy logic are widely used for the development of the hierarchical systems. The main focus of the work is on communications in hierarchy levels, since the robot must be controlled in real time. Ill. 4, bibl. 13 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.110.4.298


2018 ◽  
Vol 1 (1) ◽  
pp. 24-37
Author(s):  
Dilshad Sarwar

Emergencies and disasters can cause immense physical, emotional and financial losses to individuals, organisations, and larger scale countries. These emergencies and disasters can fundamentally cause casualties, and in many cases, loss of life. Psychological and financially the impacts on individuals, organisations and countries can be irretrievable due to the impact of the disaster or emergency. Emergency management systems provide a multi-level overview of emergency environments. Bearing the current emergency management models in mind, this article looks at reviewing the existing six models in order to provide a solution for a more comprehensive emergency management system for implementation. If emergencies are managed effectively, these negative impacts can be removed or at least minimised. The article evaluates with an extensive literature review, how to develop a holistic framework to address the shortfalls of existing models.


Author(s):  
Dilshad Sarwar

Emergencies and disasters can cause immense physical, emotional and financial losses to individuals, organisations, and larger scale countries. These emergencies and disasters can fundamentally cause casualties, and in many cases, loss of life. Psychological and financially the impacts on individuals, organisations and countries can be irretrievable due to the impact of the disaster or emergency. Emergency management systems provide a multi-level overview of emergency environments. Bearing the current emergency management models in mind, this article looks at reviewing the existing six models in order to provide a solution for a more comprehensive emergency management system for implementation. If emergencies are managed effectively, these negative impacts can be removed or at least minimised. The article evaluates with an extensive literature review, how to develop a holistic framework to address the shortfalls of existing models.


2017 ◽  
Vol 13 ◽  
pp. 244-261
Author(s):  
Mariola Tracz ◽  
Małgorzata Bajgier-Kowalska ◽  
Radosław Uliszak

Podkarpackie Voivodeship is one of the regions of Poland in which the number of agritourism entities is very high. Therefore tourism plays a significant role in its development strategy. The aim of the paper is to identify the current state of agritourism and the changes that have occurred in the region in the years 2000–2016. Specific objectives are to determine the distribution of agritourism farms and their offer, together with a comprehensive analysis of the environmental and socio-economic factors, as well as the impact of the Slovak-Ukrainian border. The report was developed on the statistical materials from the Polish Central Statistical Office, Podkarpackie Agricultural Advisory Centre in Boguchwała and data collected from municipalities and district offices that is published on their websites, as well as through interviews with 100 owners of agritourism farms in the Podkarpackie Voivodeship. The research has shown, on the one hand, the decline in the number of farms in the region and, on the other hand, the increase in the diversity of the tourist offer of these entities. Distribution of agritourism farms is closely linked to the attractiveness of natural environment and quality of secondary tourism resources. Traditional agritourism has not yet fully used its countryside, as well as cross-border advantages of its location.


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