Description: |
Scientific engineering applications for machines and networks - Preparations: Time, logic, models - State Machines: Theory, Implementation and Application - Petri nets: theory, variations, implementation and application - Hybrid Modeling Description (English): |
Learning Targets: |
The control and automation technology - due to their interdisciplinary, system-oriented approach - is a modern and basic engineering discipline. In numerous applications of automation technology, such as transportation, logistics, process controls, etc. or related disciplines such as reliability engineering often qualitative methods of control technology are used, for example, as state machines, Petri nets, colored Petri nets, etc. The event will introduce the theoretical principles of graphs and links to control theory and to systems theory. Students should learn the corresponding relationships and concepts and to apply them. |
Literature: |
J. Lunze: Automatisierungstechnik, 2003 L. Litz: Grundlagen der Automatisierungstechnik, 2005 E. Alpaydin: Maschinelles Lernen, 2008 A. Angermann et al: Matlab, Simulink, Stateflow, 2005 V. Thurau: Algorithmische Graphentheorie, 2004 U. Kiencke: Ereignisdiskrete Systeme, 2006 |