A mathematical model of a decision support system aimed at stimulating the subject's intellectual activity for making intuitive-experimental decisions is considered. The model is based on semiotic mental space model built by an expert. Methods for solving the inverse problem for finding formal solutions to achieve some goal are proposed. To interpret of formal solutions, it is proposed to apply vector static (Word2Vec) and dynamic (ruBERT, ruGPT) language models obtained by training neural networks with a text corpus. Examples of formal solutions interpretation of the inverse problem with the help of the language vector models are considered, and their possibilities of stimulating the intellectual activity of the subject for making intuitive-experimental decisions are analyzed.

Security system risk management problems are often solved using scenario analysis methods for risk assessment. This method models various attack scenarios on the system to be defended. Many studies consider the risks of a system with elements isolated from each other. At the same time, it is evident that the system’s structure can significantly affect the final values of the integral risk. This study applies previously obtained research results on the influence of complex system structure on their integral risk on security system design. The article considers how the structure of a security system affects its integral risk. The result of the study is the algorithm to design such systems to minimize costs at the operational stage.

The paper discusses the pulse PID controller IPIDO, designed for controlling objects with asymmetric backlash and the simulation model of this controller. The simulation model is used to study the performance of the IPIDO regulator compared to the regulators compensating only symmetrical backlash.

The issue of certain types of clients for large-scale systems is being considered. Hardware and software devices based on web browsers and service browsers are defined as the main clients. A comparison of their capabilities, an analysis of the use of such devices, and development trends are carried out.

The task of executing factory tests of the subsystems, including in the Automated process control system (APCS) of a Nuclear power plant (NPP), in the absence of actual related subsystems, is considered. The methods for solving this problem using software and hardware modeling tools (digital twins) for the subsystems of upper and lower levels of APCS of NPP are proposed.