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Terminated in academic year 2012/2013

Optimization

Type of study Doctoral
Language of instruction Czech
Code 638-0908/01
Abbreviation OPT
Course title Optimization
Credits 10
Coordinating department Department of Automation and Computing in Industry
Course coordinator doc. Ing. Milan Heger, CSc.

Course aims

Student will be able to formulate basic axioms of optimization, will be able to choose among individual accesses and optimization methods in the process of control of technological processes, will be able to design and construct optimal control systems, will be able to apply principles of artificial intelligence in praxis.

Literature

KIRK, D. E. Optimal control theory: an introduction. Dover ed. Mineola: Dover Publications, 2004. ISBN 0-486-43484-2.
RUSSELL, S. J. a P. NORVIG. Artificial intelligence: a modern approach. 3rd ed., Pearson new international ed. Harlow: Pearson, 2014. ISBN 978-1-292-02420-2.
NORGAARD, M. Neural networks for modelling and control of dynamic systems: a practitioner's handbook. London: Springer, 2000. ISBN 1-85233-227-1.

Advised literature

WINTER, G. and ed. Genetic algorithms in engineering and computer science. Chichester: Wiley, 1995. ISBN 0-471-95859-X.
BARNES B. a G. R. FULFORD. Mathematical Modelling with Case Studies: Using Maple and Matlab. Chapman and Hall/CRC, 2015.
BERTSEKAS, D. P. Nonlinear programming. 2nd ed. Belmont: Athena Scientific, 1999. ISBN 1-886529-00-0.