The course provides knowledge about adaptive systems, their structure, operating principles, and methods used for analysis and design. The study process addresses the calculation of adaptive system parameters and the design of control solutions suitable for variable and uncertain operating conditions.

Particular attention is paid to the stabilization of electrotechnical systems and to the application of advanced technologies for modelling and analysis. The course supports the development of advanced digital skills and promotes the ability to work with complex engineering systems in a structured and analytical way.

The learning process is based on independent and guided study activities and is intended to strengthen both theoretical understanding and practical problem-solving abilities in the field of adaptive systems.

The goal of the study course is to promote students’ understanding of modern high-performance computing technologies and their use for designing adaptive systems, and to develop skills in performing computer calculations for determining the parameters of complex adaptive systems in electrical engineering systems and industrial processes.

Tasks of the study course:

• to teach to understand the structure of the autonomous regulation system, use adaptation;
• to develop students’ skills in using high-performance computing technology for modeling the working modes of autonomous systems;
• to develop students’ skills in using digital tools for calculating the parameters of optimal operating modes of adaptive systems;
• to teach to understand the application of schemes and design principles;
• to teach how to practically analyse and evaluate operating modes and their quality.

• Understand the main concepts, structure, and operating principles of adaptive systems.
• Analyse adaptive systems and justify the selection of appropriate design approaches.
• Calculate and evaluate the main parameters of adaptive systems.
• Design adaptive systems for engineering tasks under changing operating conditions.
• Apply methods for stabilization of electrotechnical systems.
• Use advanced technologies and digital tools for modelling, analysis, and decision-making.
• Develop advanced digital competences relevant to engineering practice and complex system design.