Systems Analysis

Higher education teachers: Bürmen Miran
Credits: 7
Semester: winter
Subject code: 64124



Subject description

Prerequisits:

  • The requirement for taking the course is promotion to the 3rd year of studies. The requirements for taking the written test are the successful completion of lab courses and individual assignments.

Content (Syllabus outline):

Introduction. What are systems? Classification of systems. Analysis of systems in the time domain. Linear differential equations. Solving linear differential equations. System transfer function. Convolution of linear continuous-time systems. Stability of continuous-time linear systems. Routh-Hurwitz stability criterion. Analysis of systems in the frequency domain. Characteristics of the frequency response function. Bode diagrams. Polar diagrams. State space approach. State space models. State variables and state vector. General solution of the state equation in the time domain. State transition matrix. State space model and the transfer function. Stability analysis in state space. State space canonical forms. Controllability and observability.Analysis of linear electrical circuits. Applications of systems theory. Examples from biomedicine, engineering, economy, management, etc. Analysis of biological systems. Mathematical modelling of biological systems. Linear models. Analysis of biological systems in the time and frequency domains. State space analysis of biological systems.

Objectives and competences:

  • The purpose of this course is to provide the students with the basic knowledge and tools of modern linear systems theory in several domains.
  • The students will gain knowledge on modelling, time and frequency domain analysis, state space approach, stability, controllability, and observability.
  • The students will also be introduced to the computational tools for linear systems theory available in MATLAB.

Intended learning outcomes:

  • To provide basic knowledge on (linear) systems, their modelling, and their analysis.

Learning and teaching methods:

  • Lectures,
  • tutorials,
  • lab work and individual assignements.





Study materials

  • Antsaklis P.J., Michel A.N. A Linear Systems Primer, Birkhäuser Boston, 2007
  • Strum R.D., Kirk D.E. Contemporary Linear Systems Using MATLAB, Pws Bookware Companion Series, 1999
  • Gajič Z. Linear Dynamic Systems and Signals, Prentice hall, 2002
  • Hoppensteadt F.C., Peskin C. Modeling and Simulation in Medicine and the Life Sciences, Springer; 2. izdaja, 2004
  • Študijsko gradivo izvajalcev predmeta, predloge predavanj, predloge laboratorijskih vaj



Study in which the course is carried out

  • 3 year - 1st cycle - Electrical Enginnering - Control Engineering