DS2USS - Complex Systems Control

Course specification
Course title		Complex Systems Control
Acronym		DS2USS
Study programme		Electrical Engineering and Computing
Module		System Control and Signal Processing
Type of study		doctoral studies
Lecturer (for classes)		professor PhD Dušan Stipanović professor PhD Goran Kvaščev
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB		9.0	Status	elective
Condition		none
The goal		Objective of the course is for the students to be introduces about the optimality principles, techniques for optimization in complex systems and application of techniques for multi-criteria decisioning.
The outcome		Learning outcomes of the course are for the students to gain the following skills: to define optimization problem; to choose a technique to solve the optimization problem; to understand the techniques of nonlinear matrix inequalities; to apply multi-criteria decision technique.
Contents
Contents of lectures		Examples of convex programming; Design of controllers for complex systems based on Lyapunov function and convex programming; Basics of optimal control; Sufficient and necessary conditions of optimality; Principe of maximum; Dynamical programming; Introduction to dynamical game theory (Nash and Pareto equilibrium).
Contents of exercises
Literature
Nonlinear Multiobjective Optimization, K. Miettinen, Kluwer Academic Publishers, Boston, 1999. (Original title) Decentralized Control of Complex Systems, D. Siljak, Academic Press, 1991. (Original title) Introduction to Multi-Player Differential Games and Their Applications, E.M. Vaisbord, Gordon and Brach Science Publishers, 1988. (Original title)
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
6
Methods of teaching		90 hours of lectures
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	30
Practical lessons		70	Oral examination	0
Projects		0
Colloquia		0
Seminars		0