Lithium polymer battery state-of-charge estimation based on adaptive unscented Kalman filter and support vector machine
An accurate algorithm for lithium polymer battery state-of-charge (SOC) estimation is
proposed based on adaptive unscented Kalman filters (AUKF) and least-square support …
proposed based on adaptive unscented Kalman filters (AUKF) and least-square support …
A novel error-output recurrent neural network model for time series forecasting
It is a well-known fact that improving forecasting accuracy is an important yet often
challenging issue. Extensive research has been conducted using neural networks (NNs) to …
challenging issue. Extensive research has been conducted using neural networks (NNs) to …
Forecasting the behavior of gas furnace multivariate time series using ridge polynomial based neural network models
In this paper, a new application of ridge polynomial based neural network models in
multivariate time series forecasting is presented. The existing ridge polynomial based neural …
multivariate time series forecasting is presented. The existing ridge polynomial based neural …
A novel heading angle estimation methodology for land vehicles based on deep learning and enhanced digital map
In this paper, a novel heading angle estimation methodology for land vehicles using low-
cost sensors is proposed by combining the advantages of deep learning and enhanced …
cost sensors is proposed by combining the advantages of deep learning and enhanced …
The self-tuning networked control system with online delay prediction
T Zuo, H Min, T Zhang, X Zhang - Transactions of the …, 2017 - journals.sagepub.com
This article is concerned with the prediction of time delays and a control method for
networked control systems (NCSs). We propose to predict the network-induced delays …
networked control systems (NCSs). We propose to predict the network-induced delays …
Predictors generation by partial least square regression for microwave characterization of dielectric materials
H Sadou, T Hacib, Y Le Bihan, O Meyer… - Physica B: Condensed …, 2018 - Elsevier
In this paper, the microwave characterization of dielectric materials using open-ended
coaxial line probe is proposed. The measuring cell is a coaxial waveguide terminated by a …
coaxial line probe is proposed. The measuring cell is a coaxial waveguide terminated by a …
Optimal least squares support vector machines parameter selection in predicting the output of distributed generation
ZM Yasin, TKA Rahman… - 2014 2nd International …, 2014 - ieeexplore.ieee.org
This paper presents a novel technique to optimise the least squares support vector
machines (LS-SVM) parameters in predicting the output of Distributed Generation (DG) in a …
machines (LS-SVM) parameters in predicting the output of Distributed Generation (DG) in a …
An approach based on ANFIS and input selection procedure for microwave characterization of dielectric materials
Purpose The principle of microwave characterization of dielectric materials using open-
ended coaxial line probe is to link the dielectric properties of the sample under test to the …
ended coaxial line probe is to link the dielectric properties of the sample under test to the …