Nov 17, 2019   2:29 p.m. Klaudia, štátny sviatok - Deň boja za slobodu a demokraciu
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prof. Ing. Miroslav Fikar, DrSc.
Identification number: 3374
University e-mail: miroslav.fikar [at] stuba.sk
 
Rektor - Vedenie STU (REKP REK)
Profesor DrSc. - Department of Information Engineering and Process Control (IIEAM FCFT)
Director - Department of Information Engineering and Process Control (IIEAM FCFT)
Chancellor - Slovak university of technology in Bratislava
 
External colleague - Institute of Applied Informatics, Automation and Mechatronics (MTF)

Contacts     Lesson     Projects     Publications     Bodies     Supervised theses     

Basic information

Basic information about a final thesis

Type of thesis: Diploma thesis
Thesis title:PARAMETER ESTIMATION IN PROCESSES FROM EXPERIMENTAL DATA
Written by (author): Ing. Marián Podmajerský, PhD.
Department: Department of Information Engineering and Process Control (IIEAM FCFT)
Thesis supervisor: prof. Ing. Miroslav Fikar, DrSc.
Opponent:Ing. Tomáš Hirmajer, PhD.
Final thesis progress:Final thesis was successfully defended.


Additional information

Additional information about the final thesis follows. Click on the language link to display the information in the desired language.

Language of final thesis:English

Slovak        English

Title of the thesis:PARAMETER ESTIMATION IN PROCESSES FROM EXPERIMENTAL DATA
Summary:This work deals with dynamic and global optimization for parameter estimation of differential algebraic systems. The estimation of parameters in semi-empirical models is essential in numerous areas of engineering and applied science. The error-in-variables method has been studied from a computational standpoint. This method involves the minimization of a weighted sum of squared errors subject to the model equations. In this work, a method converting the dynamic system of equations into a set of algebraic constraints through the use of orthogonal collocation on finite elements is implemented within MATLAB code DYNOPT. It is compared to a integration method implemented within FORTRAN code GDOC.
Key words:parameter estimation, dynopt, dynoptgui, global optimization, branch and bounds


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