Course Page — Design of Adaptive Systems
Course code · DE0484

Design of Adaptive Systems

This course introduces the principles of analysis and design of adaptive systems, with a focus on modern approaches to control, modelling, and stabilization of electrotechnical systems in changing operating conditions.

Assessment

The course includes laboratory and practical activities designed to support applied understanding of adaptive systems.

8 laboratory works 5 practical works

Learning outcomes

Students develop the ability to analyse adaptive systems, identify their operating principles, evaluate parameters, and apply suitable methods for system design and stabilization.


Take your first step towards advanced digital skills with this self-paced MOOC, developed as part of the RTU study course Design of Adaptive Systems.

This course is freely accessible and designed for independent learning. Please note that completion of this MOOC does not provide a certificate. However, the full-scale study course offers additional value through guided learning, assessment, and deeper engagement with course content.

The course contributes to the development of advanced digital competences aligned with DigComp levels 7–8.

For more information about lifelong learning opportunities at RTU, please contact the RTU Lifelong Learning Department.

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About this course

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.

Goals and objectives of the course in terms of competences and skills

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.
Detailed learning outcomes
  • Able to make analysis of adaptive system.
  • Able to calculate the parameters of the extreme regulation scheme of a nonlinear system, according to the given operating parameters.
  • Able to design of adaptive system (individual task).
  • Able to create solutions for the stabilization of an electrotechnical system for an adaptive system, taking into account various disturbing factors, with the application of an adaptive regulator (DigComp level 7).
  • Able to develop an electrotechnical system model with an adaptive control scheme for both industrial processes and control of cyber-physical systems using advanced (cloud, hybrid, edge, fog, grid and IoT) technologies (DigComp level 8)
Official course information
Course title Design of Adaptive Systems
Course code DE0484
Faculty Faculty of Computer Science, Information Technology and Energy
Language of instruction English
Study type Self-paced / independent learning
Access Open online course
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About Instructor

Nadezda Kunicina

Galvenās pētniecības intereses: elektroenerģijas izmantošanas efektivitāte, iegultās sistēmas, ilgtspējīgas transporta sistēmas, iekārtu projektēšana, rūpnieciskā, kā arī mikro- un nanoelektronika un enerģijas taupīšana; kiberfizikālo sistēmu projektēšanu, iegulto sistēmu izstrāde un sensoru sistēmu pielietošanu vadības shēmu izstrādei; lēmumu pieņemšanas metožu pielietošanu brīvā elektroenerģijas tirgus apstākļos

1 Course

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Course Includes

  • 6 Lessons
  • 15 Topics