Search Results for author: Joerg Schmitt

Found 1 papers, 0 papers with code

Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications

no code implementations30 Jun 2020 Eric Wong, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter

Additionally, we show how specific intervals of fuel injection quantities can be targeted to maximize robustness for certain ranges, allowing us to train a virtual sensor for fuel injection which is provably guaranteed to have at most 10. 69% relative error under noise while maintaining 3% relative error on non-adversarial data within normalized fuel injection ranges of 0. 6 to 1. 0.

Cannot find the paper you are looking for? You can Submit a new open access paper.