Temat: Type 2 fuzzy control - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: An analytical insight to investigate the research patterns in the realm of Type-2 fuzzy logic
Autorzy:: Vij, S.
Jain, A.
Tayal, D.
Castillo, O.
Powiązania:: https://bibliotekanauki.pl/articles/951726.pdf
Data publikacji:: 2018
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: scientometric analysis
Type 2 fuzzy logic
Type 2 fuzzy systems
Type 2 fuzzy control
Type 2 fuzzy set
analiza scjentometryczna
logika rozmyta typu 2
systemy rozmyte typu 2
Opis:: Fuzzy logic has always been one of the key research areas in the field of computer science as it helps in dealing with the real world vagueness and uncertainty. In recent years, a variant of it, Type-2 Fuzzy Logic has gained enormous popularity for research purposes. In this paper, an analytical insight is provided into the research patterns of Type-2 Fuzzy logic. Web of Science has been used as the data source which consists of Science Citation Index- Expanded (SCI-E), SSCI, A&HCI and ESCI indexed research papers. 600 research papers were extracted from it in the field of Type-2 fuzzy logic from the year 2000 to 2016, which are analyzed both manually and in an automated manner. The performed study is Scientometric in nature and helps in answering research questions like control terms and top authors in this field, the growth pattern in research publications, top funding agencies and countries etc. The major goal of this study is to analyze the research work in type-2 fuzzy logic so as to track the growth of this discipline through the years and envision future trends in this area.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 2; 3-32
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart
Autorzy:: Adepoju, Akeem Ajibola
Abdulkadir, Sauta S.
Jibasen, Danjuma
Chiroma, Haruna
Powiązania:: https://bibliotekanauki.pl/articles/2021442.pdf
Data publikacji:: 2022-03-15
Wydawca:: Główny Urząd Statystyczny
Tematy:: Exponentially weighted moving average control chart
Fuzzy control chart
Fuzzy sets
Interval Type-2 fuzzy sets
Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart
Statistical process control
Opis:: Some industrial data often come with uncertainty, which in some cases depends on the decision of those responsible for taking the measurement in the production process. While the fuzzy approach helps to tackle the ambiguity that arises in the measurement, an interval type-2 fuzzy set deals with such uncertainty better due to its flexibility over the control limits of its control chart. This paper aims to develop an Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart (IT2FEWMA) under the fuzzy type-2 condition. This development will facilitate monitoring small and moderate shifts in the production process in conditions of uncertainty.
Źródło:: Statistics in Transition new series; 2022, 23, 1; 185-200
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Hybrid passivity based and fuzzy type-2 controller for chaotic and hyper-chaotic systems
Autorzy:: Serrano, F.
Rossell, J. M.
Powiązania:: https://bibliotekanauki.pl/articles/387506.pdf
Data publikacji:: 2017
Wydawca:: Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:: chaos synchronization
passive control
type-2 fuzzy controller
chaotic system
Opis:: In this paper a hybrid passivity based and fuzzy type-2 controller for chaotic and hyper-chaotic systems is presented. The proposed control strategy is an appropriate choice to be implemented for the stabilization of chaotic and hyper-chaotic systems due to the energy considerations of the passivity based controller and the flexibility and capability of the fuzzy type-2 controller to deal with uncertainties. As it is known, chaotic systems are those kinds of systems in which one of their Lyapunov exponents is real positive, and hyperchaotic systems are those kinds of systems in which more than one Lyapunov exponents are real positive. In this article one chaotic Lorentz attractor and one four dimensions hyper-chaotic system are considered to be stabilized with the proposed control strategy. It is proved that both systems are stabilized by the passivity based and fuzzy type-2 controller, in which a control law is designed according to the energy considerations selecting an appropriate storage function to meet the passivity conditions. The fuzzy type-2 controller part is designed in order to behave as a state feedback controller, exploiting the flexibility and the capability to deal with uncertainties. This work begins with the stability analysis of the chaotic Lorentz attractor and a four dimensions hyper-chaotic system. The rest of the paper deals with the design of the proposed control strategy for both systems in order to design an appropria.
Źródło:: Acta Mechanica et Automatica; 2017, 11, 2; 96-103
1898-4088
2300-5319
Pojawia się w:: Acta Mechanica et Automatica
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Fuzzy synergetic control for dynamic car-like mobile robot
Autorzy:: Bouhamatou, Zoulikha
Abedssemed, Foudil
Powiązania:: https://bibliotekanauki.pl/articles/2106222.pdf
Data publikacji:: 2022
Wydawca:: Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:: CLMR
synergetic control
lyapunov stability
GWO
fuzzy logic type 2
Opis:: This paper aims to present the dynamic control of a Car-like Mobile Robot (CLMR) using Synergetic Control (SC). The SC control is used to make the linear velocity and steering velocity converge to references. Lyapunov synthesis is adopted to assure controlled system stability. To find the optimised parameters of the SC, the grey wolf optimiser (GWO) algorithm is used. These parameters depend on the best-selected fitness function. Four fitness functions are selected for this purpose, which is based on the integral of the error square (ISE), the integral of the square of the time-weighted error (ITSE), the integral of the error absolute (IAE) and the integral of the absolute of the time-weighted error (TIAE) criterion. To go further in the investigation, fuzzy logic type 2 is used to get at each iteration the appropri-ate controller parameters that give the best performances and robustness. Simulations results are conducted to show the feasibility and efficiency of the proposed control methods.
Źródło:: Acta Mechanica et Automatica; 2022, 16, 1; 48--57
1898-4088
2300-5319
Pojawia się w:: Acta Mechanica et Automatica
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Speed control of doubly fed induction motor using backstepping control with interval type-2 fuzzy controller
Autorzy:: Herizi, Abdelghafour
Rouabhi, Riyadh
Zemmit, Abderrahim
Powiązania:: https://bibliotekanauki.pl/articles/2232527.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:: double fed induction motor
type-2 fuzzy logic
backstepping control
hybrid control
robust
silnik indukcyjny
logika rozmyta typu 2
kontrola wsteczna
sterowanie hybrydowe
Opis:: The control of the doubly-fed induction motor is a complex operation because of this motor characterised by a non-linear multivariable dynamics, having settings that change over time and a significant link between the mechanical component and magnetic behavior (flux) (speed and couple). This article then proposes a new strategy of a robust control of this motor, which is decoupled due to the stator flux’s direction. The proposed control is integrated with the backstepping control which based on Lyapunov theory; this approach consists in constructively designing a control law of nonlinear systems by considering some state variables as being virtual commands, and the important branch of artificial intelligence type-2 fuzzy logic. The hybrid control backstepping-fuzzy logic consists in replacing the regulators applied to the backstepping control by regulators based on type-2 fuzzy logic. This control will be evaluated by numerous simulations where there is a parametric and non-parametric variation.
Źródło:: Diagnostyka; 2023, 24, 3; art. no. 2023301
1641-6414
2449-5220
Pojawia się w:: Diagnostyka
Dostawca treści:: Biblioteka Nauki

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