Automation and Information Engineering in Chemistry and Food Industry – master (full-time, attendance method), 4. semester
Level of study:
Prerequisites for registration:
Students individually elaborate 3 projects within the semester. They submit them electronically. They have to present the results and defend them. The students are rated in accordance with the study rules of the STU.
Learning outcomes of the course unit:
The students know the basic types of uncertainties. They are able to analyze the robust stability of systems with structured uncertainties. They are able to propose a controller for systems with interval parametric uncertainty. The students know how to use linear matrix inequalities in the analysis of robust stability and the design of robust controllers for systems with polytopic uncertainty. The students know unstructured uncertainty. They can analyze the robust stability of systems with unstructured uncertainty and can propose a robust controller for such systems.
Introduction to robust control
Systems with single parameter uncertainty
Systems with interval parametric uncertainty
Robust controller design for systems with interval uncertainty
Systems with linear affine uncertainty
Stability of Polytopic systems
Generalized Kharitonov theorem
LMI in robust control
Robust pole-placement method
Introduction to unstructured uncertainty
Unstructured uncertainty -- analysis and synthesis
Recommended or required reading:
VESELÝ, V. – HARSÁNYI, L. Robustné riadenie dynamických systémov. Bratislava : STU v Bratislave, 2008. 126 p. ISBN 978-80-227-2801-0.
ZHOU, K. – DOYLE, J C. Essentials of robust control. Upper Saddle River : Prentice Hall, 1998. 411 p. ISBN 0-13-525833-2.
BARMISH, B. New Tools for Robustness of Linear Systems. New York : Macmillan Publishing Company, 1994. 394 p. ISBN 0-02-306055-7.
Institute of Information Engineering, Automation and Mathematics was established in 1.1.2006 from two departments: Department of Information Engineering and Process Control and Department of Mathematics.