Modeling and identification (17/18)
Faculteit  Science and Engineering 
Jaar  2017/18 
Vakcode  WIMI10 
Vaknaam  Modeling and identification (17/18) 
Niveau(s)  master 
Voertaal  Engels 
Periode  semester I a 
ECTS  5 
Rooster  rooster.rug.nl 
Uitgebreide vaknaam  Modeling and Identification (tweejaarlijks)  
Leerdoelen  At the end of the course, the student is able to: 1.recognise different representations of linear dynamical systems and is able to transfer between them 2. apply methods for model reduction of linear dynamical systems and reproduce the proofs of their properties 3.apply methods for identification of linear dynamical systems 4. apply the material presented in the course to formulate and prove extensions of results from the course 

Omschrijving  This course is concerned with the mathematical analysis and identification of dynamical inputstateoutput systems. The emphasis is on linear timeinvariant models. These models are very important for applications and admit a detailed and elegant mathematical analysis. Contents: 1. State space models, higherorder differential equation models, and transfer matrix descriptions, and how to switch from one description into another one. In particular, we study the realization problem which is concerned with setting up (minimal) state space models for higherorder differential/difference models and transfer matrices. Systems with physical structure. 2. Model reduction of linear state space models. In many applications state space models are highdimensional, and need to be approximated by reduced models. In particular we investigate the theory of balancing of linear systems, and show how lowdimensional approximations can be achieved by making use of the controllability and observability Gramian. We also pay attention to structurepreserving model reduction, where we want certain structural characteristics (such as passivity) of the highdimensional model to be preserved. Furthermore, we consider other model reduction methods based on Krylov subspace methods. 3. Identification of linear dynamical systems by subspace identification. 

Uren per week  
Onderwijsvorm  Hoorcollege (LC)  
Toetsvorm 
Opdracht (AST), Schriftelijk tentamen (WE)
(During the course, students will receive three sets of homework problems. The final grade will be computed as : FG = 0.2 HW1 + 0.2 HW2 + 0.2 HW3 + 0.4 WE, where FG is the final grade, HWi is the ith homework, and WE the grade for the written exam. See for more infromation the remarks.) 

Vaksoort  master  
Coördinator  dr. ir. B. Besselink  
Docent(en)  dr. ir. B. Besselink  
Verplichte literatuur 


Entreevoorwaarden  The course assumes prior knowledge in system theory, such as from the course units Project Systems Theory and Advanced Systems Theory within the BSc programme (Applied) Mathematics.  
Opmerkingen  The first assignment will focus on the topic of realization theory. The second assignment will focus on the topic of model reduction. The third assignment will focus on further aspects of model reduction as well as on the topic of system identification. The final written exam is an open book exam 

Opgenomen in 
