Results 61 to 70 of about 24,496 (213)
On the Minkowski-H\"{o}lder type inequalities for generalized Sugeno integrals with an application [PDF]
In this paper, we use a new method to obtain the necessary and sufficient condition guaranteeing the validity of the Minkowski-H\"{o}lder type inequality for the generalized upper Sugeno integral in the case of functions belonging to a wider class than ...
Boczek, Michał, Kaluszka, Marek
core +2 more sources
This study explores sustainable waste frying oil treatment using Fuller's earth and optimizes the decolorization process through RSM and ANFIS modeling. A comparative assessment highlights the prediction accuracy and applicability of both tools for adsorption‐based purification and resource recovery.
Anietie O. Etim +2 more
wiley +1 more source
Adaptive inferential sensors based on evolving fuzzy models [PDF]
A new technique to the design and use of inferential sensors in the process industry is proposed in this paper, which is based on the recently introduced concept of evolving fuzzy models (EFMs). They address the challenge that the modern process industry
Angelov, Plamen, Kordon, Arthur
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The work delivers a rigorous mathematical framework for asymptotic tracking in nonlinear systems that explicitly include control‐input derivatives, actuator dynamics, and input saturation, with Lyapunov‐based proofs establishing convergence and robustness under their coupled effects.
Mohammad Reza Homaeinezhad +5 more
wiley +1 more source
The main contribution of this paper is the consideration of information throughout the entire sampling period. By proposing a sampling point‐dependent Lyapunov functional, a new dissipative criterion and a sampled‐data control strategy are derived through the application of free‐matrix‐based integral inequalities.
Du Xiong +3 more
wiley +1 more source
Automatic construction of rules fuzzy for modelling and prediction of the central nervous system [PDF]
The main goal of this work is to study the performance of CARFIR (Automatic Construction of Rules in Fuzzy Inductive Reasoning) methodology for the modelling and prediction of the human central nervous system (CNS). The CNS controls the hemodynamical
Gómez Miranda, Pilar +2 more
core +1 more source
On the interpretation and identification of dynamic Takagi-Sugenofuzzy models [PDF]
Dynamic Takagi-Sugeno fuzzy models are not always easy to interpret, in particular when they are identified from experimental data. It is shown that there exists a close relationship between dynamic Takagi-Sugeno fuzzy models and dynamic linearization ...
Johansen, T.A. +2 more
core +3 more sources
ABSTRACT Hybrid AC/DC microgrids that integrate photovoltaic, wind, battery and hydrogen energy systems are prone to DC‐bus voltage fluctuations because of their low inertia and converter‐based operation. This paper proposes a robust backstepping nonsingular fast terminal integral sliding mode controller that incorporates a virtual capacitor and a ...
Md Saiful Islam +3 more
wiley +1 more source
AUTOMOTIVE APPLICATIONS OF EVOLVING TAKAGI-SUGENO-KANG FUZZY MODELS
This paper presents theoretical and application results concerning the development of evolving Takagi-Sugeno-Kang fuzzy models for two dynamic systems, which will be viewed as controlled processes, in the field of automotive applications. The two dynamic
Radu-Emil Precup +6 more
doaj +1 more source
Alat Bantu Ajar Mata Kuliah Fuzzy Logic pada Pokok Bahasan Metode Sugeno Berbasis Multimedia [PDF]
Metode Sugeno merupakan salah satu metode dari logika samar, Output (konsekuen) pada penalaran berupa konstanta atau persamaan linear. Dari hasil nilai mid semester pada mata kuliah Fuzzy Logic terdapat 58% dari 79 mahasiswa mendapatkan nilai kurang baik
Mukhtar, M. (Mukhlis) +1 more
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