Learning Outcomes
Upon successfull completion of the course, the students will be able to:
a) construct mathematical models from data and they will implement them in MATLAB,
b) design and analyze off-line and on-line parameter estimation algorithms and they will implement them in MATLAB,
c) perform model validation.
Course Content (Syllabus)
Models of dynamical systems
Linear parameterization
Off-line parameter estimation algorithms and the Least-Squares method
On-line parametrer estimation algorithms (the parameter drift phenomenon, σ-modification, switching σ-modification, dead-zone, projection modification)
Model structure selection methods
Model validation
Additional bibliography for study
1.L. Ljung, System Identification Theory for the User, Prentice Hall, New Jersey, 1999.
2.R. Johansson, System Modeling & Identification, Prentice Hall, New Jersey, 1993.
3.O. Nelles, Nonlinear System Identification, Springer, Berlin, 2001.