Systemics

Qualification goals

After completing the Systemics lecture, students have a solid basic knowledge in the field of systems theory as well as the fundamental principles of modeling and system identification. They have methodological knowledge for dealing with complex, networked systems from production, mechanics, electrics and economics and can apply the most important procedures for the description and identification of such systems.

Content

• Basics Modeling and System Identification
• Modeling approaches
  • Growth systems (Lotka-Volterra, one/multidimensional, with/without capacity barriers)
  • Mechanical systems (Lagrange/Hamilton formalism)
  • Economic systems (stochastic, Monte-Carlo method)
• Identification approaches
  • Properties of estimation methods
  • Least Square
  • Kalman Filter