## Search results: 3

**Prerequisites**

**Aim of the course/ Course description**

**Rules about Homework/Exam**

Each week a home assignment will be given, which together will contribute 40% of the final grade. The remaining 60% are coming from an individual examination problem that will be assigned at the end of the course. The students should take 7 to 8 days in a period of 3 weeks to write an essay on the problem elaboration. The essay text contributes 50% of the final grade, while the last 10% are coming from an oral presentation of the results obtained.

**Lecture Notes / Literature**

- Kuznetsov, Yu.A. "Elemenets of Applied Bifurcation Theory", 3rd edition, Springer, 2004. - Beyn, W.-J., Champneys, A., Doedel, E., Govaerts, W., Kuznetsov, Yu.A., and Sandstede, B. Numerical Continuation, and Computation of Normal Forms. In: Fiedler B. (ed.) "Handbook of Dynamical Systems", v.2, Elsevier Science, North-Holland, 2002, pp. 149-219 - Govaerts, W. "Numerical Methods for Bifurcations of Dynamical Equilibria", SIAM, 2000. - Meijer, H.G.E., Dercole, F., and Oldeman B. Numerical Bifurcation Analysis. In: Meyers, R. (ed.) "Encyclopedia of Complexity and Systems Science", Part 14, pp. 6329-6352, Springer New York, 2009. - Lecture Notes , Practicum Tutorials, and Software Manuals available via Internet.

**Lecturer**

Dr Yuri A. Kuznetsov (UU)

- Docent: Yuri Kuznetsov

**Aim of the course**The course aims at students in pure and applied mathematics with an interest in applications of (linear) algebra and ordinary differential equations. The purpose of the course is to introduce the students to basic concepts and more advanced notions of the mathematical theory of systems.

**Prerequisites**The course is aimed at students in mathematics at the comprehensive as well as the technical universities. Solid knowledge of linear algebra and calculus are essential. Furthermore, knowledge of ordinary differential equations is desirable. All at the bachelor level.

Please note: this is an intensive course open only to master students

- Docent: Jan Willem Polderman
- Docent: Jacob van der Woude

**Aim of the course**

The course aims at students in pure and applied mathematics with an interest in applications of (linear) algebra and ordinary differential equations. The purpose of the course is to introduce the students to basic concepts and more advanced notions of the mathematical theory of systems.

**Description**Mathematical systems theory is concerned with problems related to dynamic phenomena in interaction with their environment. These problems include:

* modelling. Obtaining a mathematical model that reflects the main features. A mathematical model may be represented by difference or differential equations, but also by inequalities, algebraic equations and logical constraints.

* Analysis and simulation of the mathematical model.

* Prediction and estimation.

* Control. By choosing inputs or, more general, by imposing additional constraints on some of the variables, the system may be influenced so as to obtain certain desired behavior. Feedback is an important example of control.

The main objects of study in this course are systems modeled by linear time-invariant differential equations. We start with a treatment of the theory of algebraic representation of dynamical systems using polynomial matrices. The main tool is the Euclidean algorithm applied to matrices of real polynomials. The main result is a complete characterization of all representations of a given system.

Several other representations are introduced along with their relations. Important examples of such representation are input-output representations that reveal that some variables may be unrestricted by the equations, and state space representations that visualize the separation of past and future, also referred to as the Markov property.

Controllability and observability are important system theoretic concepts. A controllable system has the property that a desired future behavior can always be obtained, independent of the past behavior, provided that this future behavior is compatible with the laws of the system.

Observability means that the complete behavior may be reconstructed from incomplete observations. The theory of controllability and observability forms one of the highlights of the course. Stability can be an important and desirable property of a system. Stabilization by static or dynamic feedback is one of the key features of Systems and Control. In the pole placement theorem linear algebraic methods and the notion of controllability are used in their full strength. The theorem, loosely speaking, says that in a controllable system the dynamical behavior can be changed as desired, in terms of characteristic values, by using appropriate feedback. It forms one of the most elegant results of the course and indeed of the field of Systems and Control.

**Prerequisites**The course is aimed at students in mathematics at the comprehensive as well as the technical universities. Solid knowledge of linear algebra and calculus are essential. Furthermore, knowledge of ordinary differential equations is desirable. All at the bachelor level.

**Rules about Homework / Exam**

The final grade is determined by the results of the homework assignments, the oral presentation, the report and the written exam.

The Take Home exams concern all chapters of the book with the exception of Chapter 8. The report and presentation will be based on additional material that will be assigned during the intensive week. Presentation and report will be prepared in small groups, the Take Home exams are individual efforts. All six items will be graded separately. The final grade is determined by the six sub-grades and the written exam. With HW=HomeWork, G=Grade, Rep=Report, WrEx=Written Exam:

For a pass it is required that WrEx>=5 and HW>=6. If these conditions are satisfied then

HW= (H1+H2+H3+H4)/4 en G=(HW+Rep+Pres+2*WrEx)/5.

- Docent: Jan Willem Polderman
- Docent: Jacob van der Woude