Чему вы научитесь
- Classify the systems to be identified.
- Explain the process of system identification and the requirements placed on the signals and systems involved.
- Construct informative experiments for dynamic systems.
- Choose the appropriate model form for identification.
- Formulate and implement parametric and non-parametric algorithms for system identification.
- Validate the estimated model.
- Use MATLAB System Identification Toolbox for all the stages of system identification.
О курсе
Для кого этот курс
Начальные требования
- Knowledge in the subject of Automatic Control Theory.
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Basic understanding of advanced mathematics.
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A working knowledge of MATLAB.
Преподаватели курса
270
Как проходит обучение
The course consists of 6 Modules. Each module contains PDF files with presentations, video lessons and test questions for assessment.
The course also includes 3 practical (laboratory) sessions. In these sessions, students watch the video with explanation of the work and complete laboratory work using MATLAB software. Each laboratory work is supported with detailed description in a PDF file. The reports on lab works can be sent to the teacher via email.
The course assumes several optional activities. Some of the Modules offer collaborative reading and commenting of up-to-date scientific papers on system identification via hypothes.is platform. While other require the use of the service Poll Everywhere for completing the assessment. Students are also encouraged to use comments for discussions and support after each lesson.
Что вы получите
- Knowledge of system identification procedure, experiment design, identification methods and practical issues.
- Practical skills in system identification using MATLAB.
- Ability to build precise mathematical models of various dynamical systems.