Problem procjene i upravljanja temperaturom u kontekstu linearno-kvadratičnog gausovskog problema upravljanja

master's thesis

• Title (english): Problem of the estimation and control of the temperature in the context of linear - quadratic Gaussian control
• Author: Oliver Šajnić
• Mentor: Luka Grubišić (mentor)
• Committee member: Luka Grubišić (predsjednik povjerenstva)
• Committee member: Igor Ciganović (član povjerenstva)
• Committee member: Zvonimir Bujanović (član povjerenstva)
• Committee member: Josip Tambača (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Mathematics); Zagreb
• Defense date and country: 2024-07-22, Croatia
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Mathematics

Abstract

Fokus ovog rada je najviše na izvedbi programskog dijela rada. Želi se postići i objasniti glavnu izvedbu i primjenu rada. Manji dio rada odnosi se i na izradu fizičkog rada, a veći na njegovu izvedbu i funkcionalnost, kako fizičkog rada tako i simulacije u Pythonu. Prikazani su i objašnjeni svi koraci izrade, programski kod je detaljno obrazložen, samogovoreć i povezan s ostatkom koda. Izriče se jasna razlika između fizičkog rada i simulacije. Navedene su prednosti i nedostatci oba pristupa te njihova područja primjene. Rad daje dobar uvid i argumentaciju za njegove specifične primjene i razlaže zašto su neke metode pogodnije od drugih. Glavna stvar koja se želi iz svega postići je zainteresirati čitatelja, predočiti mu ideju, plan, sliku i funkciju ovog naizgled jednostavnog, ali itekako interesantnog, korisnog i primjenjivog rada.

Abstract (english)

The focus of this work is mainly on the implementation of the program part of the work. It is intended to achieve and explain the main performance and application of the work. A smaller part of the work also refers to the creation of the physical work, and a larger part to its performance and functionality, both of the physical work and the simulation in Python. All production steps are shown and explained, the programming code is explained in detail, self-explanatory and linked to the rest of the code. A clear distinction is made between physical work and simulation. The advantages and disadvantages of both approaches and their areas of application are listed. The paper provides good insight and arguments for its specific applications and explains why some methods are more suitable than others. What we want to achieve above all is to interest the reader, to present to him the idea, plan, image and function of this seemingly simple, but very interesting, useful and applicable work.

• Keywords: Python; programski kod
• Language: croatian
• URN:NBN: urn:nbn:hr:217:158620
• Study programme: Title: Mathematics and Computer Science Education; specializations in: Mathematics and Computer Science Education; Course: Mathematics and Computer Science Education; Study programme type: university; Study level: graduate; Academic / professional title: sveučilišni magistar edukacije matematike i informatike (sveučilišni magistar edukacije matematike i informatike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-07-24 13:55:09