19. 1. 2020  5:04 Drahomíra, Mário, Sára
Akademický informační systém

Zadání závěrečné práce – Ing. Mohammad Abdollahpouri – SjF D-AISP ext [roč 3]


Aplikace umožňuje zobrazit náhled zadání závěrečné práce. Zobrazení je pouze informativní a neodpovídá tiskovému výstupu.

 
Slovak University of Technology in Bratislava
Institute of automation, measurement and applied informatics
 Faculty of Mechanical Engineering
2018/2019
 
 

 
DISSERTATION THESIS TOPIC

 

Author of thesis:Mohammad Abdollahpouri, M.Sc.
Study programme:Automation and Informatics of Machines and Processes
Study field: Cybernetics
Registration number:SjF-104432-75922
Student's ID:75922
Thesis supervisor:prof. Ing. Boris Rohaľ-Ilkiv, CSc.
Workplace:Institute of automation, measurement and applied informatics
  
Title of the thesis:Embedded Optimal Estimation for Fast Mechatronic Systems
  
Language of thesis:English
  
Topic specifications:1. Formulation of the nonlinear estimation methods; e.g. the extended Kalman filter (EKF) and the moving horizon estimation (MHE).
2. Overview the pros and cons of the standard nonlinear estimation methods.
3. Study the capabilities of a globally nominally model transformation in the nonlinear estimation framework.
4. Design of multi-stage nonlinear estimation methods aiming for improvements in estimation performance and reducing the computational complexity.
5. Analyzing the stability analysis of the multi-stage estimation problems in discrete-time domain.
6. Practical implementation and experimental verification of functionality and performance of the proposed algorithms in real time for vibration systems.
  
Date of entry:01. 09. 2014
  
Date of submission:31. 05. 2019



Mohammad Abdollahpouri, M.Sc.
Solver
 
 
 
 
prof. Ing. Cyril Belavý, CSc.
Head of department
 prof. Ing. Cyril Belavý, CSc.
Study programme supervisor