TY - GEN
T1 - Stochastic LIM for Transient Solution of Electromagnetic and Circuit Problems with Uncertainties
AU - Chen, Xu
AU - Schutt-Aine, Jose E.
AU - Cangellaris, Andreas C.
N1 - Publisher Copyright:
© 2019 ACES.
PY - 2019/5/10
Y1 - 2019/5/10
N2 - Stochastic LIM was introduced for fast and accurate simulation of circuits with random elements. The method combines Latency Insertion Method with Stochastic Galerkin Method to formulate a finite difference-based transient circuit solver for simulation of circuits with uncertainties. The random nodal voltages and branch currents, along with the random circuit element values, are expanded using generalized Polynomial Chaos basis functions to form an augmented system which is solved using LIM. A sampling-based method proposed to calculate expansion coefficients as inputs to Stochastic LIM.
AB - Stochastic LIM was introduced for fast and accurate simulation of circuits with random elements. The method combines Latency Insertion Method with Stochastic Galerkin Method to formulate a finite difference-based transient circuit solver for simulation of circuits with uncertainties. The random nodal voltages and branch currents, along with the random circuit element values, are expanded using generalized Polynomial Chaos basis functions to form an augmented system which is solved using LIM. A sampling-based method proposed to calculate expansion coefficients as inputs to Stochastic LIM.
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M3 - Conference contribution
AN - SCOPUS:85066467862
T3 - 2019 International Applied Computational Electromagnetics Society Symposium in Miami, ACES-Miami 2019
BT - 2019 International Applied Computational Electromagnetics Society Symposium in Miami, ACES-Miami 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Applied Computational Electromagnetics Society Symposium in Miami, ACES-Miami 2019
Y2 - 14 April 2019 through 18 April 2019
ER -