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Books > Science & Mathematics > Physics > Electricity, magnetism & electromagnetism
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Uncertainty Quantification of Electromagnetic Devices, Circuits, and Systems (Hardcover)
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Uncertainty Quantification of Electromagnetic Devices, Circuits, and Systems (Hardcover)
Series: Electromagnetic Waves
Expected to ship within 10 - 15 working days
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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.
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