Title | Evaluation of the Computational Complexity of Implementation of the Process of Adaptation of High-Reliable Control Systems |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Zarubskiy, Vladimir G., Bondarchuk, Aleksandr S., Bondarchuk, Ksenija A. |
Conference Name | 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) |
Date Published | Jan. 2020 |
Publisher | IEEE |
ISBN Number | 978-1-7281-5761-0 |
Keywords | adaptation, composability, computational complexity, Computers, control computer, Control System, control systems, control theory, Optimization, process control, pubcrawl, reliability theory, resilience, Resiliency, security, structural engineering, structural stability |
Abstract | The development of control systems of increased reliability is highly relevant due to their widespread introduction in various sectors of human activity, including those where failure of the control system can lead to serious or catastrophic consequences. The increase of the reliability of control systems is directly related with the reliability of control computers (so called intellectual centers) since the computer technology is the basis of modern control systems. One of the possible solutions to the development of highly reliable control computers is the practical implementation of the provisions of the theory of structural stability, which involves the practical solution of two main tasks - this is the task of functional adaptation and the preceding task of functional diagnostics. This article deals with the issues on the assessment of computational complexity of the implementation of the adaptation process of structural and sustainable control computer. The criteria of computational complexity are the characteristics of additionally attracted resources, such as the temporal characteristics of the adaptation process and the characteristics of the involved amount of memory resources of the control computer involved in the implementation of the adaptation process algorithms. |
URL | https://ieeexplore.ieee.org/document/9039274 |
DOI | 10.1109/EIConRus49466.2020.9039274 |
Citation Key | zarubskiy_evaluation_2020 |