Sliding-Mode-Control-Based Boost Converter for High-Voltage–Low-Power Applications

León-Masich, Antonio; Valderrama-Blavi, Hugo; Bosque-Moncusí, Josep María; Maixé-Altés, Javier; Martínez-Salamero, L.

doi:10.1109/tie.2014.2327004

Cited by 54 publications

(22 citation statements)

References 30 publications

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“…Radial basis function neural network (RBFNN) is one of the most popular feed-forward ANN architectures in the literature for forecasting problems, among which the back-propagation (BP) algorithm is the most extensively used, and is a supervised learning model. The RBFNN can be considered as a special three-layer feed forward network which has certain advantages including better approximation capabilities, fast learning algorithms, simple network structures, and will not encounter the local minima problems [33, 34]. RBFNN can illuminate the complex law between the inputs and outputs through a fitting process that allows it to approximate any nonlinear function [35–38].…”

Section: Introductionmentioning

confidence: 99%

Combining gene expression programming and genetic algorithm as a powerful hybrid modeling approach for pear rootstocks tissue culture media formulation

et al. 2019

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BackgroundPredicting impact of plant tissue culture media components on explant proliferation is important especially in commercial scale for optimizing efficient culture media. Previous studies have focused on predicting the impact of media components on explant growth via conventional multi-layer perceptron neural networks (MLPNN) and Multiple Linear Regression (MLR) methods. So, there is an opportunity to find more efficient algorithms such as Radial Basis Function Neural Network (RBFNN) and Gene Expression Programming (GEP). Here, a novel algorithm, i.e. GEP which has not been previously applied in plant tissue culture researches was compared to RBFNN and MLR for the first time. Pear rootstocks (Pyrodwarf and OHF) were used as case studies on predicting the effect of minerals and some hormones in the culture medium on proliferation indices.ResultsGenerally, RBFNN and GEP showed extremely higher performance accuracy than the MLR. Moreover, GEP models as the most accurate models were optimized using genetic algorithm (GA). The improvement was mainly due to the RBFNN and GEP strong estimation capability and their superior tolerance to experimental noises or improbability.ConclusionsGEP as the most robust and accurate prospecting procedure to achieve the highest proliferation quality and quantity has also the benefit of being easy to use.

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Section: Introductionmentioning

confidence: 99%

Combining gene expression programming and genetic algorithm as a powerful hybrid modeling approach for pear rootstocks tissue culture media formulation

et al. 2019

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“…On the other hand, SMCs are ubiquitous to many applications [16]. These nonlinear controllers alter the dynamics of the system by applying a discontinuous control signal so that under some conditions the system 'slides' on a certain control surface.…”

Section: Introductionmentioning

confidence: 99%

Heat Flow Dynamics in Thermal Systems Described by Diffusive Representation

Domínguez-Pumar

Atienza

Kowalski

et al. 2017

IEEE Trans. Ind. Electron.

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Abstract-The objective of this paper is to analyze the dynamics of heat flow in thermal structures working under constant temperature operation. This analysis is made using the tools of sliding mode controllers. The theory is developed considering that the thermal system can be described using diffusive representation. The experimental corroboration has been made with a prototype of a wind sensor for Mars atmosphere being controlled by a thermal sigma-delta modulator.This sensor structure allows to analyze experimentally the timevarying case since changes in wind conditions imply changes in the corresponding thermal models. The diffusive symbols of the experimental structures have been obtained from openloop measurements in which pseudo-random binary sequences of heat are injected in the sensor. With the proposed approach it is possible to predict heat flux transient waveforms in many applications.

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“…The stability of the cascade connection of the two converters will be ensured if the output impedance modulus of the first stage is smaller than the input impedance modulus of the second stage for all operating frequencies [27]. Figure 7 depicts the Thévenin's model of the cascade connection of the LFR stage and the resonant inverter.…”

Section: Ballast Stability Analysismentioning

confidence: 99%

A Loss-Free Resistor-Based Versatile Ballast for Discharge Lamps

Valderrama-Blavi¹,

León-Masich²,

Olalla³

et al. 2019

Energies

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This paper presents a versatile ballast for discharge lamps, whose operation is based on the notion of a loss-free resistor (LFR). The ballast consists of two stages: (1) a boost converter operating in continuous conduction mode (CCM) and exhibiting an LFR behavior imposed by sliding-mode control; and (2) a resonant inverter supplying the discharge lamp at high frequencies. Thanks to this mode of operation, the power transferred to the lamp is regulated by the LFR input resistance, allowing successful ignition, warm-up, nominal, and dimming operation of a range of discharge lamps, with no need for complex regulation schemes based on lamp models. The versatility of the ballast has been experimentally proven for both conventional and electrodeless discharge lamps. Tests include induction electrodeless fluorescent (IEFL), high-pressure sodium (HPS) vapor, and metal-halide lamps.

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Sliding-Mode-Control-Based Boost Converter for High-Voltage–Low-Power Applications

Cited by 54 publications

References 30 publications

Combining gene expression programming and genetic algorithm as a powerful hybrid modeling approach for pear rootstocks tissue culture media formulation

Combining gene expression programming and genetic algorithm as a powerful hybrid modeling approach for pear rootstocks tissue culture media formulation

Heat Flow Dynamics in Thermal Systems Described by Diffusive Representation

A Loss-Free Resistor-Based Versatile Ballast for Discharge Lamps

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