We propose and study a weakly convergent variant of the forward-backward algorithm for solving structured monotone inclusion problems. Our algorithm features a per-iteration deviation vector, providing additional degr...
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Abstract: This work involves an efficient approach for the modeling and discrimination of the stator asymmetries and magnetic saturation in the self-excited induction generators. For this purpose, an improved model co...
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This paper presents a novel control design for vehicular formations as an alternative to alignment through conventional consensus protocols for second-order systems. The design is motivated by the closed-loop system, ...
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The paper presents a solution for an irrigation controller based on the fuzzy-logic methodology. First, it describes the general problem of irrigation. Then, it discusses the physical control model. The precious irrig...
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This paper proposes a robust identification and control-based on a neural network method for a Twin Rotor Multivariable System (TRMS) using a recursive adaptive training algorithm. The algorithm is based on a recursiv...
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Abstract: This work describes an efficient approach for the modeling and analysis of asymmetrical induction machines operation under stator short-circuits faults. Theoretical and experimental studies have been investi...
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This paper introduces a novel approach for linear quadratic optimal control design for a nonlinear control structure based on a feedback linearization method and applied over permanent magnet synchronous motor (PMSM)....
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The aim of this article is to analyze the impact of adaptive histogram equalization of the human eye OCT B-scans on the effectiveness of the classification of pathological changes. Tests were performed on two datasets...
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In this paper, we discuss the state estimation problem for discrete-Time nonlinear systems under a zero search approach. In this sense, a state estimator based on the fractional-order extension of the well-known Newto...
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