prikaz prve stranice dokumenta Adaptivni sustavi upravljanja
Access restricted to students and staff of home institution
master's thesis
Adaptivni sustavi upravljanja
2019. urn:nbn:hr:187:875133
Justinić, Antonio
University of Rijeka
Faculty of Maritime Studies, Rijeka
Department of Marine Electronics and Communications

Cite this document

Justinić, A. (2019). Adaptivni sustavi upravljanja (Master's thesis). Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka. Retrieved from https://urn.nsk.hr/urn:nbn:hr:187:875133

Justinić, Antonio. "Adaptivni sustavi upravljanja." Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2019. https://urn.nsk.hr/urn:nbn:hr:187:875133

Justinić, Antonio. "Adaptivni sustavi upravljanja." Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2019. https://urn.nsk.hr/urn:nbn:hr:187:875133

Justinić, A. (2019). 'Adaptivni sustavi upravljanja', Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, accessed 24 April 2024, https://urn.nsk.hr/urn:nbn:hr:187:875133

Justinić A. Adaptivni sustavi upravljanja [Master's thesis]. Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka; 2019 [cited 2024 April 24] Available at: https://urn.nsk.hr/urn:nbn:hr:187:875133

A. Justinić, "Adaptivni sustavi upravljanja", Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, Rijeka, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:187:875133

Please login to the repository to save this object to your list.
Metadata
TitleAdaptivni sustavi upravljanja
Title (english)Adaptive systems of controlling
AuthorAntonio Justinić
MentorVinko Tomas (mentor)
Committee memberJasmin Ćelić (predsjednik povjerenstva)
Committee memberMiroslav Bistrović (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Maritime Studies, Rijeka
(Department of Marine Electronics and Communications)
Rijeka
Defense date and country2019-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract
Sustav adaptivnog upravljanja može se definirati kao upravljački sustav povratne veze dovoljno inteligentan da prilagodi svoje karakteristike u promjenjivom okruženju, tako da su zadovoljeni neki specificirani kriteriji. Općenito govoreći, metode prilagodljivog upravljanja su uglavnom prikladne za (a) mehaničke sustave koji nemaju značajna vremenska kašnjenja; i (b) sustavi koji su dizajnirani tako da je njihova dinamika dobro razumljiva. Adaptivne metode kontrole, bilo modelske reference ili samopodešavanja, obično zahtijevaju neku vrstu identifikacije dinamike procesa. To pridonosi brojnim temeljnim problemima kao što su (a) potrebna količina offline obuke, (b) kompromis između trajne pobude signala za ispravnu identifikaciju i stalni sustavni odgovor za kontrolne performanse, (c) pretpostavka procesne strukture i (d) pitanja konvergencije modela i stabilnosti sustava u stvarnim primjenama. Osim toga, tradicionalne metode adaptivnog upravljanja pretpostavljaju poznavanje strukture procesa. Oni imaju velike poteškoće u bavljenju nelinearnim, strukturalno-varijantnim ili velikim procesima vremenskih ograničenja.
Abstract (english)
An adaptive control system can be defined as a control system intelligent enough to adjust its characteristics in a changing environment so that some specified criteria are satisfied. Generally speaking, adaptive control methods are mainly suitable for (a) mechanical systems that do not have significant time delays; and (b) systems that have been designed so that their dynamics are well understood. Adaptive control methods, either model reference or self-tuning, usually require some kind of identification of the process dynamics. This contributes to a number of fundamental problems such as (a) the amount of offline training required, (b) the trade-off between the persistent excitation of signals for correct identification and the steady system response for control performance, (c) the assumption of the process structure, and (d) the model convergence and system stability issues in real applications. In addition, traditional adaptive control methods assume knowledge of the process structure. They have major difficulties in dealing with nonlinear, structure-variant, or with large time delays processes.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:187:875133
Study programmeTitle: Marine Electronic Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektroničke i informatičke tehnologije (magistar/magistra inženjer/inženjerka elektroničke i informatičke tehnologije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2019-11-13 07:39:51