Research into the process of modeling random delays in networked control systems
This paper proposes to consider the main types of delay models that arise and, importantly, negatively affect the efficiency and productivity of networked control systems, and in some cases lead to failures and even failures in operation. As for all other types of control systems, for networked control systems, stability of operation, accuracy and speed of execution of processes and algorithms, high security indicators, availability and flexibility and a number of other requirements are also very important. And all this is achieved through constant study and improvement of technologies, search for new and non-standard solutions and also constant research in the industry. As we already know, networked control systems (NCS) based on even the name assume the presence of networks in their control circuits, which in turn leads to the emergence of a number of problems that are characteristic of network technologies. Such problems as, for example, random delays or packet loss, or transmission of several packets at a time. It should be noted that usually the most attention when studying this issue is paid to the problems caused by random delays, because if they are present, they can also lead to the emergence of other problems that were mentioned above. Therefore, to reduce the negative impact of these random delays, which lead to a decrease in the efficiency of networked control systems and instability in their operation, there is a need to establish a mathematical model of random delays before creating a compensating element. And modeling of networked control systems with the right approach and the choice of successful solutions and modeling methods makes it possible to solve the issue of the presence of imperfections and problems associated with this technology.
Authors
- Ivan Chystyk (ORCID: https://orcid.org/0009-0009-6444-718X)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32782/2786-9024/v3i4(36).331271
- Primary Topic
- Petri Nets in System Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00