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Optimal Control of process

Summary

The basic terms and relations of optimal control theory, analytical and numerical methods of one dimensional and multidimensional static optimization and classical theory of extreme regulation of dynamic systems are discussed. Attention is also paid to the optimal management of larger technological units using linear programming. The lecture is focused on the principles of dynamic optimization and the use of artificial intelligence. The subject provides comprehensive information on the problems of calculating the extremes of functions and functions in solving the optimization tasks of controlling technological aggregates and processes.

Literature

GRIVA, I., S. G. NASH a A. SOFER. Linear and nonlinear optimization. 2nd ed. Philadephia: Society for Industrial and Applied Mathematics, 2009. ISBN 978-0-898716-61-0.
KIRK, D. E. Optimal control theory: an introduction. Dover ed. Mineola: Dover Publications, 2004. ISBN 0-486-43484-2.

Advised literature

ANDERSON, B., B. D. OUTRAM a J. B. MOORE. Optimal control: linear quadratic methods. Dover ed. Mineola: Dover Publications, 2007. ISBN 978-0-486-45766-6.


Language of instruction čeština
Code 654-3026
Abbreviation OŘP
Course title Optimal Control of process
Coordinating department Department of Industrial Systems Management
Course coordinator doc. Ing. Milan Heger, CSc.