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Modelling and Learning for Dynamical Systems (TSRT92)

Exercises:

Nr. Content Exercises Extra
1 Linearization, physical principles 3.3, 2.3, 1.7(a) 1.5, 3.6
2 Scaling, model simplification 11.6, 4.9, 4.3, 11.7 3.16, 3.17, 4.1
3 DAE-models 6.1, 6.2, 6.3, 6.4
4D Simulations mos_sim.pdf, uppg11_11.mdl, uppg4_9.mdl 11.1-11.4
5 Sampling, etc. 7.8, 7.9, 7.10, 7.1 9.1-9.3
6D Non-parametric identification Computer exercises in S.I. 1
7 Parametric identification 9.10 9.11, 9.12, 9.8 9.6, 9.9
8D Parametric identification Computer exercises in S.I. 2
9D Parametric identification Computer exercises in S.I. 3
10D Gaussian processes for system identification, model reduction, model validation. Regularization exercises
11D Physical and nonlinear identification Computer exercises in S.I. 4
12D Closed-loop system identification Closed-loop identification exercises

Notice that the exercise numbers refer to the second edition of the exercise book in Swedish (2008) as well as to the English version. If you plan to use the older version in Swedish you should be aware that some parts may be missing. A map between numbering in the two Swedish editions is here.

Computer exercises

Seven of the exercise sessions (marked with 'D') are computer sessions ("datorlektioner") planned in computer rooms (ISY:s datorsalar). In these sessions the students will learn how to use the software packages required in the labs and in the computational part of the exam (Matlab, with Simulink and the System Identification Toolbox).

For the computer exercises, a number of files are needed. They can be downloaded here:

akustikdata.mat
elmotor.mat
reaktordata.mat
vibrationdata.mat
irb1400.mat
tankdata.mat
krandata.mat
solhusdata.mat
closedloop.mat