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13D051USS - Complex Systems Control

Course specification
Course title Complex Systems Control
Acronym 13D051USS
Study programme Electrical Engineering and Computing
Module System Control and Signal Processing
Type of study doctoral studies
Lecturer (for classes)
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
      1. Nonlinear Multiobjective Optimization, K. Miettinen, Kluwer Academic Publishers, Boston, 1999.
      2. Decentralized Control of Complex Systems, D. Siljak, Academic Press, 1991.
      3. Introduction to Multi-Player Differential Games and Their Applications, E.M. Vaisbord, Gordon and Brach Science Publishers, 1988.
      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
      Colloquia 0
      Seminars 0