Wykaz publikacji wybranego autora

Klaudia Dziedzic, mgr inż.

doktorant

Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii Biomedycznej
WEAIiIB-kair, Katedra Automatyki i Robotyki

  • 2019

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / automatyka, elektronika i elektrotechnika

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0002-5008-4009 połącz konto z ORCID

ResearcherID: brak

Scopus: 57194567155

PBN: 5e7092ae878c28a04739aa24

System Informacyjny AGH (SkOs)

Liczba pozycji spełniających powyższe kryteria selekcji: 16, z ogólnej liczby 16 publikacji Autora

1
  • Accuracy analysis of the fractional order, positive, state space model of heat transfer process
2
  • Accuracy estimation of the fractional, discrete-continuous model of the one-dimensional heat transfer process
3
  • Control of all axis in 3D crane using FOPID controllers optimized with GWO algorithm
4
  • Control of the inverted pendulum using Quickly Adjustable, Discrete FOPID controller
5
  • Expansion of a solver for nonlinear fractional problems – the inclusion of time delays
6
7
  • Identification of fractional order transfer function model using biologically inspired algorithms
8
  • Integer order vs fractional order temperature models in the forced air heating system
9
  • New parameter identification method for the fractional order, state space model of heat transfer process
10
  • Non integer order, discrete, state space model of heat transfer process using Grünwald-Letnikov operator
11
  • Optimization of the FOPID parameters of the 3D crane control system by using GWO
12
  • PSO identification for discrete fractional order model of heat transfer process
13
  • Sample time optimization for the discrete approximation of the fractional order Charef transfer function
14
  • The Caputo vs. Caputo-Fabrizio operators in modeling of heat transfer process
15
  • The quickly adjustable digital FOPID controller
16
  • Tuning the fractional order PID controller in the forced air heating system using biologically inspired algorithms