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Program 2017/2018

Lesson Date Tile Material
L1 18/09 Introduction- Review of Linear Algebra LN 1
L2 19/09 Least squares error solutions LN 2
L3 20/09 Matrix norms, SVD LN3
E1 25/09 Matlab (laboratory) Prof. Biagiotti  
L4 26/09 Dynamical Models LN4
L5 27/09 State space systems LN5
L6 2/10 Response of LTI systems LN6
E2 3/10 Matlab (laboratory) Prof. Biagiotti  
L7 4/10 Response in Transform Domain LN7
L8 9/10 Similarity Transformation/ Solution in Modal Coordinates LN8
L9 10/10 Stochastic Processes and Systems LN9
L10 11/10 Stochastic and deterministic dynamical i/o system LN10
L11 16/10 Stability  
L12 17/10 Liapunov method LN11
L13 18/10 External stability LN12
L14 23/10 Response of stochastic systems LN13
E3 25/10 TEST like Exercises  
E4 30/10 Matlab (Laboratory) (Prof. Biagiotti)  
L15 13/11 Reachability LN14
L16 14/11 Modal Aspects LN15
L17 15/11 Observability LN16
L18 20/11 Model-Based Controller LN17
L19 21/11 Minimal State Realization LN18
E5 27/11 TEST like Exercises  
L20 22/11 Estimation (LS,BLUE,RLS,LMS) LN19
L21 28/11 Estimation  
L22 29/11 Kalman Filtering LN20
L23 4/12 Kalman Filtering  
L24 5/12 Idetification LN21
L25 6/12 Identification in practice- Model validation LN22
E6 11/12 Test like Exercises  
E7 12/12 Matlab (Laboratory)  


Requirements and grading: 2 midterm tests (40%+ 40%)+ Matlab test (20%) or 1 final exam (80%)+matlab test (20%). The oral test is not mandatory, but upon student request (maximum it will allow  +/- 10% of final grade).

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