A Parallel-In-Time Adjoint Sensitivity Analysis for a B6 Bridge-Motor Supply Circuit

07/03/2023
by   Julian Sarpe, et al.
0

This paper presents a parallel-in-time adjoint sensitivity analysis which combines a transient adjoint sensitivity analysis with the parareal approach in order to significantly speed up the simulation. The adjoint method is the method of choice to calculate the sensitivities in a many-parameter setting. In order to obtain sensitivity information that is time-dependent, multiple adjoint problems must be solved. This slows down the simulation wall-clock time and leaves a large optimization potential for the analysis. The parareal is applied to the adjoint solution, significantly speeding up the adjoint solution for every timestep respectively.

READ FULL TEXT

page 2

page 4

research
11/21/2017

Variance-based sensitivity analysis for time-dependent processes

The global sensitivity analysis of time-dependent processes requires his...
research
05/16/2019

Multigrid-reduction-in-time for Eddy Current problems

Parallel-in-time methods have shown success for reducing the simulation ...
research
05/30/2015

Sensitivity Analysis of Resonant Circuits

We use first-order perturbation theory to provide a local linear relatio...
research
11/15/2022

Adjoint Variable Method for Transient Nonlinear Electroquasistatic Problems

Many optimization problems in electrical engineering consider a large nu...
research
01/06/2023

Sensitivity analysis using Physics-informed neural networks

The paper's goal is to provide a simple unified approach to perform sens...
research
07/24/2023

Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation

Reinforcement learning is time-consuming for complex tasks due to the ne...
research
08/31/2021

Sensitivity Approximation by the Peano-Baker Series

In this paper we develop a new method for numerically approximating sens...

Please sign up or login with your details

Forgot password? Click here to reset