INSTITUTE OF APPLIED MATHEMATICS
Last Updated:
28/08/2017 - 21:10

IAM570 - Hybrid Systems

Credit: 3(3-0); ECTS: 8.0
Instructor(s): Consent of IAM
Prerequisites: Consent of Instructor(s)

Course Catalogue Description

Classification of dynamical systems according to resolution, basic qualitative features of dynamical systems, introduction of hybrid systems and their examples, hybrid systems according to different concerns, linear and piecewise linear systems, qualitative features of hybrid dynamical systems , hybrid models of complex non-linear dynamic systems Hybrid models of dynamical systems with delay, inference problem, intervention problem, hybrid control systems.

Course Objectives

Even thought hybrid systems are among the oldest technologies, their first formalization started with the process control applications. Today, use of hybrid systems are still increasing due to increasing extent of the automation and they posses several advances for emerging needs like modelling of several complex systems in biology, ecology, climatics, seismology, etc. This interdisciplinary course is aimed at providing a background and understanding of hybrid systems considering various approaches developed in dynamical systems theory, control theory and computer science.

Course Learning Outcomes

At the end of the course students are expected to attain an understanding of hybrid systems and the skills to solve real life modelling and control problems by using hybrid system models.

Tentative (Weekly) Outline

Classification of dynamical systems according to resolution, basic qualitative features of dynamical systems, introduction of hybrid systems and their examples, hybrid systems according to different concerns, linear and piecewise linear systems, qualitative features of hybrid dynamical systems , hybrid models of complex non-linear dynamic systems Hybrid models of dynamical systems with delay, inference problem, intervention problem, hybrid control systems.

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