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undergraduate thesis
Uvod u optimalno upravljanje
2017. urn:nbn:hr:200:568251
Teni, Matko
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Automation and Robotics

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Teni, M. (2017). Uvod u optimalno upravljanje (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:568251

Teni, Matko. "Uvod u optimalno upravljanje." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:568251

Teni, Matko. "Uvod u optimalno upravljanje." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:568251

Teni, M. (2017). 'Uvod u optimalno upravljanje', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 19 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:568251

Teni M. Uvod u optimalno upravljanje [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2017 [cited 2024 November 19] Available at: https://urn.nsk.hr/urn:nbn:hr:200:568251

M. Teni, "Uvod u optimalno upravljanje", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:200:568251

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Metadata
TitleUvod u optimalno upravljanje
Title (english)Introduction in optimal control theory
AuthorMatko Teni
MentorDražen Slišković (mentor)
Committee memberDražen Slišković (predsjednik povjerenstva)
Committee memberHrvoje Glavaš (član povjerenstva)
Committee memberDamir Blažević (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Automation and Robotics)
Osijek
Defense date and country2017, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Automatsko upravljanje je po definiciji automatsko održavanje željenog stanja nekog procesa ili mijenjanje tog stanja po određenom zakonu. Optimalno upravljanje odnosi se na dinamičke sustave i njihovu optimizaciju tijekom vremena. Optimalno upravljanje proces je određivanja putanja upravljačkih veličina i veličina stanja za dinamički sustav za određeni period vremena kako bi se minimizirao postavljeni kriterij kakvoće.U ovom završnom radu prikazana je teorijska podloga optimalnog upravljanja, tj. način odabira optimalnih parametara regulatora u nekom procesu prema zadanim kriterijima. Objašnjeni su kriteriji optimizacije za određenu funkciju troška uz odgovarajuća ograničenja, objašnjeni su elementi računa varijacija kao i Pontrjaginov princip minimuma, odnosno maksimuma. Na jednostavnom primjeru prikazan je izračun parametara regulatora za zadani sustav i zadani kriterij.
Abstract (english)
Automatic control is by definition maintaining desired state of a process or changing that state by a specific law. Optimal control refers to the dynamic systems and their optimization over time. Optimal control is process of determining the path of control values and the size of the state for dynamic system for a certain period of time to minimize the performance index.So in this final paper, theoretical background of optimal control was shown, ie, the selection of the optimal parameters of regulator in some process in regards to the set criteria. It explains the criteria of optimization for a specific cost function with appropriate restrictions, the elements of the calculus of variations and Pontryagin's minimum/maximum principle were also explained. A simple example shows the calculation of controller parameters for the given system and given criteria.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:568251
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
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Created on2017-01-24 10:18:13