13D051USS - Complex Systems Control
Course specification | ||||
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Course title | Complex Systems Control | |||
Acronym | 13D051USS | |||
Study programme | Electrical Engineering and Computing | |||
Module | ||||
Type of study | doctoral studies | |||
Lecturer (for classes) |
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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 | ||||
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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 |