1,721,182 research outputs found
Approximations and Analog Implementation of Nonlinear Systems Represented By Volterra Series
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Improving the approximation ability of Volterra series identified with a cross-correlation method
Full text linkThis paper proposes an improvement in cross-correlation methods derived from the Lee–Schetzen method, in order to obtain a lower mean square error in the output for a wider range of the input variances. In particular, each Wiener kernel is identified with a different input variance and new formulas for conversion from Wiener to Volterra representation are presented
Cloud-based sustainable management of electrical and electronic equipment from production to end-of-life
No full textUncertainty Quantification of Lithium-Ion Batteries with Polynomial Chaos
No full textLithium-ion battery pack performance and longevity can be severely affected by cell-to-cell variations. Statistical modeling is an important tool for optimization of performance and safety of battery packs. This work presents uncertainty quantification of Lithium-ion battery performance, in particular sensitivity analysis. This analysis is based on calculation of Sobol' indices from a surrogate model, based on Polynomial Chaos Expansion. Performance is compared with Monte Carlo simulations
Models and Applications for Embedded Systems
No full textThis book will present the work of the research results developed by the research cooperation between the Università Politecnica delle Marche (Italy), HTWG Konstanz (Germany), Reutlingen University (Germany) and the British University of Cairo (Egypt). The topics of the research work are signal detection, acquisition and processing, platforms and applications processing vital data, physiological measurement, low power wearable sensors, algorithm design for pattern classification, real-time data mining
Stochastic model of Lithium-ion Batteries based on Polynomial Chaos Expansion
No full textLithium-ion battery pack performance and longevity can be severely affected by cell-to-cell variations. Statistical modeling is an important tool for optimization of performance and safety of battery packs. In this work a statistical model of Lithium-ion battery cell, based on Polynomial Chaos Expansion is developed. Performance are compare with Monte Carlo simulations
Preface of the Proc. of the IEEE 12th Int. Workshop on Intelligent Solutions in Embedded Systems WISES2015
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