Uncertainty quantification of electromagnetic devices, circuits, and systems edited by Sourajeet Roy

Format:

Book

Contributor:

Roy, Sourajeet, editor.

Series:

ACES series on computational electromagnetics and engineering

The ACES series on computational electromagnetics and engineering

Language:

English

Subjects (All):

Uncertainty (Information theory)--Mathematical models.

Uncertainty (Information theory).

Stochastic analysis.

Electromagnetic devices--Design and construction.

Electromagnetic devices.

Physical Description:

1 online resource illustrations

Place of Publication:

London, United Kingdom The Institution of Engineering & Technology 2021

Summary:

"Uncertainty Quantification of Electromagnetic Devices, Circuits, and Systems describes the advances made over the last decade in the topic of uncertainty quantification (UQ) and stochastic analysis. The primary goal of the book is to educate and inform electronics engineers about the most recent numerical techniques, mathematical theories, and computational methods to perform UQ for electromagnetic devices, circuits, and systems. Importantly, the book offers an in-depth exploration of the recent explosion in surrogate modelling (metamodeling) techniques for numerically efficient UQ. Metamodeling has currently become the most attractive, numerically efficient, and popular approach for UQ. The book begins by introducing the concept of uncertainty quantification in electromagnetic device, circuit, and system simulation. Further chapters cover the theory and applications of polynomial chaos based uncertainty quantification in electrical engineering; dimension reduction strategies to address the curse of dimensionality in polynomial chaos; a predictor-corrector algorithm for fast polynomial chaos based statistical modeling of carbon nanotube interconnects; machine learning approaches towards uncertainty quantification; artificial neural network-based yield optimization with uncertainties in EM structural parameters; exploring order reduction clustering methods for uncertainty quantification of electromagnetic composite structures; and mixed epistemic-aleatory uncertainty using a new polynomial chaos formulation combined with machine learning. A final chapter provides concluding remarks and explores potential future directions for research in the field. The book will be a welcome resource for advanced students and researchers in electromagnetics and applied mathematical modelling who are working on electronic circuit and device design. The following topics are dealt with: polynomials; chaos; stochastic processes; electromagnetic devices; learning (artificial intelligence); optimisation; Monte Carlo methods; numerical analysis; product design; engineering computing"-- Provided by publisher

Contents:

Uncertainty quantification in electromagnetic device, circuit,and system simulation: its importance and value / Sourajeet Roy

Polynomial chaos based uncertainty quantification in electricalengineering: theory / Paolo Manfredi and Dries Vande Ginste

Polynomial chaos based uncertainty quantification in electricalengineering: applications / Paolo Manfredi and Dries Vande Ginste

Dimension reduction strategies to address the curse ofdimensionality in polynomial chaos / Sourajeet Roy

A predictor-corrector algorithm for fast polynomial chaos basedstatistical modeling of carbon nanotube interconnects / Surila Guglani and Sourajeet Roy

Uncertainty quantification and design optimization withnon-Gaussian correlated process variations / 5Zheng Zhang

Machine learning approaches towards uncertainty quantification / Riccardo Trinchero and Flavio Canavero

Artificial neural network-based yield optimization withuncertainties in EM structural parameters / Feng Feng, Jianan Zhang and Qi-Jun Zhang

Exploring order reduction clustering methods for uncertaintyquantification of electromagnetic composite structures / Sebastien Lallechere

Mixed epistemic-aleatory uncertainty using a new polynomialchaos formulation combined with machine learning / Domenico Spina, Tom Dhaene and Flavia Grassi

Conclusions and future directions / Sourajeet Roy

Notes:

Includes bibliographical references and index

Online resource; title from PDF title page (IET Digital Library, viewed on February 25, 2022)

Other Format:

Print version Roy, Sourajeet Uncertainty quantification of electromagnetic devices, circuits, and systems

ISBN:

183953172X

9781839531729

OCLC:

1289372022