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Vicente Feliu-Batlle

Researcher at University of Castilla–La Mancha

Publications -  77
Citations -  1275

Vicente Feliu-Batlle is an academic researcher from University of Castilla–La Mancha. The author has contributed to research in topics: PID controller & Control theory. The author has an hindex of 16, co-authored 66 publications receiving 1050 citations. Previous affiliations of Vicente Feliu-Batlle include Ferdowsi University of Mashhad.

Papers
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Maximum Power Point Tracker Based on Fuzzy Adaptive Radial Basis Function Neural Network for PV-System

TL;DR: In this paper, a maximum power point tracking (MPPT) controller for a photovoltaic (PV) system is presented, where a combination of fuzzy logic and an adaptive radial basis function neural network (RBF-NN) is used to drive a DC-DC Boost converter which was used to link the PV-module and a resistive load.
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Fractional-order integral resonant control of collocated smart structures

TL;DR: In this article, a fractional-order integral controller (FI) is proposed to improve the robustness of the closed-loop system to changes in the mass of the payload at the tip.
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Design and comparison of state-feedback and predictive-integral current controllers for active- and reactive-power control in renewable energy systems

TL;DR: In this article, a predictive-integral current controller for renewable energy systems connected to the grid through PWM voltage-source converters is designed to achieve a deadbeat-type response to set-point step changes and decoupled active and reactive power control.
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A hybrid dynamic model of shape memory alloy spring actuators

TL;DR: In this paper, the authors developed a hybrid model that describes the temperature, elongation and inner force relationships in a spring Shape Memory Alloy (SMA) actuator, in which a sigmoid function correlates the variation of temperature for the SMA and the force executed by the spring actuator.
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Fractional-order mathematical model of an irrigation main canal pool

TL;DR: In this article, a fractional order model for an irrigation main canal is proposed based on the experiments developed in a laboratory prototype of a hydraulic canal and the application of a direct system identification methodology.