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Now showing items 41-50 of 134
Inverting Monotonic Nonlinearities by Entropy Maximization
(Public Library Science, 2016-10-25)
This paper proposes a new method for blind inversion of a monotonic nonlinear map applied to a sum of random variables. Such kinds of mixtures of random variables are found in source separation and Wiener system inversion ...
A Component-Based Approach for Securing Indoor Home Care Applications
(MDPI, 2017-01)
eHealth systems have adopted recent advances on sensing technologies together with advances in information and communication technologies (ICT) in order to provide people-centered services that improve the quality of life ...
Virtual Sensor for Kinematic Estimation of Flexible Links in Parallel Robots
(MDPI, 2017-09)
The control of flexible link parallel manipulators is still an open area of research, endpoint trajectory tracking being one of the main challenges in this type of robot. The flexibility and deformations of the limbs make ...
Adaptive Scalable SVD Unit for Fast Processing of Large LSE Problems
(Institute of Electrical and Electronic Engineers (IEEE), 2014-06-18)
Singular Value Decomposition (SVD) is a key linear algebraic operation in many scientific and engineering applications. In particular, many computational intelligence systems rely on machine learning methods involving high ...
ANN-Based Airflow Control for an Oscillating Water Column Using Surface Elevation Measurements
(MDPI, 2020-01-29)
Oscillating water column (OWC) plants face power generation limitations due to the stalling phenomenon. This behavior can be avoided by an airflow control strategy that can anticipate the incoming peak waves and reduce its ...
Iterative Learning Control and Gaussian Process Regression for Hydraulic Cushion Control
(Elsevier, 2020-07-17)
In this paper, we investigate on extending a feed-forward control scheme for the force control circuit of a hydraulic cushion with Gaussian Process nonlinear regression and Iterative Learning Control. Gaussian Processes ...
Data-driven nonparametric Li-ion battery ageing model aiming at learningfrom real operation data – Part A: Storage operation
(Elsevier, 2020-08)
Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide accurate predictions under realistic ...
Data-driven nonparametric Li-ion battery ageing model aiming at learningfrom real operation data - Part B: Cycling operation
(Elsevier, 2020-08)
Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide accurate predictions under realistic ...
Feedforward Compensation Analysis of Piezoelectric Actuators Using Artificial Neural Networks with Conventional PID Controller and Single-Neuron PID Based on Hebb Learning Rules
(MDPI, 2020-08-01)
This paper presents a deep analysis of different feed-forward (FF) techniques combined with two different proportional-integral-derivative (PID) control to guide a real piezoelectric actuator (PEA). These devices are well ...
Experimental Validation of a Sliding Mode Control for a Stewart Platform Used in Aerospace Inspection Applications
(MDPI, 2020-11-17)
The authors introduce a new controller, aimed at industrial domains, that improves the performance and accuracy of positioning systems based on Stewart platforms. More specifically, this paper presents, and validates ...