Interval-Valued Fuzzy Control

Zeng, Wenyi; Wang, Jiayin

doi:10.1007/978-3-642-12990-2_20

Cited by 7 publications

(5 citation statements)

References 21 publications

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“…The Multilayer Perceptron can be defined as a feedforward artificial neural network (ANN) [44,45]. Its robustness and relative simplicity make this ANN the one most frequently used.…”

Section: Regression Techniquesmentioning

confidence: 99%

Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation

et al. 2017

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Batteries are one of the principal components in electric vehicles and mobile electronic devices. They operate based on electrochemical reactions, which are exhaustively tested to check their behavior and to determine their characteristics at each working point. One remarkable issue of batteries is their complex behavior. The power cell type under analysis in this research is a LFP (Lithium Iron Phosphate LiFePO4). The purpose of this research is to predict the power cell State of Charge (SOC) by creating a hybrid intelligent model. All the operating points measured from a real system during a capacity confirmation test make up the dataset used to obtain the model. This dataset is clustered to obtain different behavior groups, which are used to develop the final model. Different regression techniques such as polynomial regression, support vector regression (SVR), and artificial neural networks (ANN) have been implemented for each cluster. A combination of these methods is performed to achieve an intelligent model. The SOC of the power cell can be predicted by this hybrid intelligent model, and good results are achieved.

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“…The Multilayer Perceptron can be defined as a feedforward artificial neural network (ANN) [44,45]. Its robustness and relative simplicity make this ANN the one most frequently used.…”

Section: Regression Techniquesmentioning

confidence: 99%

Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation

et al. 2017

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“…A MultiLayer Perceptron (MLP) is a feedforward Artificial Neural Network (ANN) [29,30]. It is one of the most used ANNs due to its simple configuration and its robustness.…”

Section: Artificial Neural Network (Ann) Multi-layer Perceptron (Mlp)mentioning

confidence: 99%

Modeling the Electromyogram (EMG) of Patients Undergoing Anesthesia During Surgery

Casteleiro‐Roca

Pérez

Piñón-Pazos

et al. 2015

Advances in Intelligent Systems and Computing

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All fields of science have advanced and still advance significantly. One of the facts that contributes positively is the synergy between areas. In this case, the present research shows the Electromyogram (EMG) modeling of patients undergoing to anesthesia during surgery. With the aim of predicting the patient EMG signal, a model that allows to know its performance from the Bispectral Index (BIS) and the Propofol infusion rate has been developed. The proposal has been achieved by using clustering combined with regression techniques and using a real dataset obtained from patients undergoing to anesthesia during surgeries. Finally, the created model has been tested with very satisfactory results.

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“…Li [13] investigated fuzzy inference algorithms and its application in the fuzzy control. Zeng [21] introduced the concept of interval-valued fuzzy control. Now we apply the above approximate reasoning algorithms of interval-valued fuzzy sets in interval-valued fuzzy control.…”

Section: Control Algorithm Of Interval-valued Fuzzy Setmentioning

confidence: 99%