Wyniki wyszukiwania dla: GAINS SELECTION

• A Universal Gains Selection Method for Speed Observers of Induction Machine

  Publikacja

  • D. Wachowiak

  - ENERGIES - Rok 2021

  Properties of state observers depend on proper gains selection. Each method of state estimation may require the implementation of specific techniques of finding those gains. The aim of this study is to propose a universal method of automatic gains selection and perform its verification on an induction machine speed observer. The method utilizes a genetic algorithm with fitness function which is directly based on the impulse response...

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• Gains selection of non-proportional observers of an induction motor with dyadic methods

  Publikacja

  • T. Bialon
  • R. Niestroj
  • M. Pasko
  • A. Lewicki

  - Rok 2016

  The paper presents issues related to calculation of gains of non-proportional observers of magnetic fluxes of an induction motor. A transformation is discussed, based on dyadic matrices, that affords possibility of applying well-known methods used in single-output systems to observers of multi-output systems. The impact of dyadic transformation on possibility of poles placement of the observer is analyzed....

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• Genetic Algorithm Approach for Gains Selection of Induction Machine Extended Speed Observer

  Publikacja

  • D. Wachowiak

  - ENERGIES - Rok 2020

  The subject of this paper is gains selection of an extended induction machine speed observer. A high number of gains makes manual gains selection difficult and due to nonlinear equations of the observer, well-known methods of gains selection for linear systems cannot be applied. A method based on genetic algorithms has been proposed instead. Such an approach requires multiple fitness function calls; therefore, using a quality index...

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• Sains Malaysiana

  Czasopisma

  ISSN: 0126-6039

• Sains Tanah

  Czasopisma

  ISSN: 1412-3606 , eISSN: 2356-1424

• Feature type and size selection for adaboost face detection algorithm

  Publikacja

  • J. Dembski

  - Rok 2010

  The article presents different sets of Haar-like features defined for adaptive boosting (AdaBoost) algorithm for face detection. Apart from a simple set of pixel intensity differences between horizontally or vertically neighboring rectangles, the features based on rotated rectangles are considered. Additional parameter that limits the area on which the features are calculated is also introduced. The experiments carried out on...

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• Selective detection of F- by chromogenic tetrazole receptor

  Publikacja

  • A. Pazik
  • A. Skwierawska

  - SUPRAMOLECULAR CHEMISTRY - Rok 2013

  A chromogenic anion host 4, containing two amide functionalities linked to azo dye and tetrazole rings was synthesized and its complexes with various anions were investigated. The results show that receptor 4 can recognize selectively biologically important F- ion. The binding affinity for F- was investigated by naked-eye colour change, UV-Vis and 1H NMR spectroscopy. Addition F- ion in CH3CN and DMSO to receptor 4 cause a colour...

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• Gender approach to multi-objective optimization of detection systems by pre-selection of criteria

  Publikacja

  • Z. Kowalczuk
  • T. Białaszewski

  - Advances in Intelligent Systems and Computing - Rok 2014

  A novel idea of performing evolutionary computations for solving highly-dimensional multi-objective optimization (MOO) problems is proposed. The information about individual genders is applied. This information is drawn out of the fitness of individuals and applied during the parental crossover in the evolutionary multi-objective optimization (EMO) processes. The paper introduces the principles of the genetic-gender approach (GGA)...

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• Gender approach to multi-objective optimization of detection systems by pre-selection of criteria

  Publikacja

  • Z. Kowalczuk
  • T. Białaszewski

  - Rok 2013

  A novel idea of performing evolutionary computations for solving highly-dimensional multi-objective optimization (MOO) problems is proposed. The information about individual genders is applied. This information is drawn out of the fitness of individuals and applied during the parental crossover in the evolutionary multi-objective optimization (EMO) processes. The paper introduces the principles of the genetic-gender approach (GGA)...

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• Gender approach to multi-objective optimization of detection systems by pre-selection of criteria

  Publikacja

  • Z. Kowalczuk
  • T. Białaszewski

  - Rok 2014

  A novel idea of performing evolutionary computations for solving highly-dimensional multi-objective optimization (MOO) problems is proposed. The information about individual genders is applied. This information is drawn out of the fitness of individuals and applied during the parental crossover in the evolutionary multi-objective optimization (EMO) processes. The paper introduces the principles of the genetic-gender approach (GGA)...

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