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Optimization

Language of instruction angličtina, čeština
Code 352-0510
Abbreviation OS
Course title Optimization
Coordinating department Department of Control Systems and Instrumentation
Course coordinator Ing. Jolana Škutová, Ph.D.

Summary

The objective of the course "Systems Optimization" is to familiarize students with the topics of static and dynamic optimization, with an emphasis on current methods and their application in automatic control theory. Students are also introduced to the basic architectures of neural networks, learning methods, and their applicability.

Literature

RAO, Singiresu S. Engineering Optimization. Theory and Practice. 2009, John Wiley & Sons, Inc.
RAVINDRAN, Auteur, Gintaras V. REKLAITIS and K. M. RAGSDELL. Engineering Optimization. Methods and Applications. New York: John Wilea and Sons, 1983, ISBN 0-471-05579-4.
ROBERTS, Julia a Mykel KOCHENDERFER. Mathematical Optimization [online]. [cit. 2020-04-20]. Dostupné z: https://web.stanford.edu/group/sisl/k12/optimization/
SEWAK, Mohit, Md. Rezaul KARIM a Pradeep PUJARI. Practical Convolutional Neural Networks. Birmingham: Packt Publishing, 2018. ISBN 978-1-78839-230-3 .

Advised literature

ANDERSON, Brian D. O., John B. MOORE. Optimal Control. Linear Quadratic Methods.
Prentice Hal International, London, 1989, ISBN 0-13-638651-2.