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MS1ASS - Complex Systems Analysis

Course specification
Course title Complex Systems Analysis
Acronym MS1ASS
Study programme Electrical Engineering and Computing
Module Signals and Systems
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition none
    The goal Objective of the course is for students to get the image of complex dynamical systems including characterization of their optimality and stability.
    The outcome Student should have the following skills: to make a characterization of the complex systems in the sense of dynamical performances, stability and optimality; to form the basic models in the form of ordinary or stochastic differential equations; to make an analysis of stability using the vector type Ljapunov's functions; to optimize the multi-criteria optimization problem.
    Contents
    Contents of lectures Introduction to different structures and properties of complex systems; Modeling of complex systems using ordinary and stochastic differential equations; Multi-agent systems; Analysis of complex systems stability; Multi-criteria optimization.
    Contents of exercises Lectures will be followed by practical demonstrations of complex systems using MATLAB toolboxes.
    Literature
    1. Dragoslav Siljak, Decentralized Control of Complex Systems, Academic Press, 1991. (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 1
    Methods of teaching 45 hours of lectures + 15 hours of auditory exercises
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 40
    Practical lessons 60 Oral examination 0
    Projects 0
    Colloquia 0
    Seminars 0