System Identification OpenCourseWare: MIT's Free Graduate Level Course on System Identification
'System Identification,' a free course offered by the Massachusetts Institute of Technology, focuses on methods of system identification. This OpenCourseWare from MIT is suited to graduate students in computer science or electrical engineering.
System Identification: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Graduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | No |
System Identification: Course Description
This OpenCourseWare from the Massachusetts Institute of Technology takes a look at the structures and methods for system identification. The subjects you will learn include model identifiability, parametrization, and structures; mathematical modeling of systems from observation of their behavior; state-space, time series, and input-output models; non-parametric methods; recursive estimation; order estimation; Kalman filter relation; structure determination; Akaike criterion; robustness and practical issues. The class is appropriate for graduate students in computer science or electrical engineering. MIT Professor Munther Dahleh teaches this free course.
This OpenCourseWare about system identification includes lecture notes and problem sets with solutions. If you are interested in taking this free course, visit the system identification course page.
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