In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...
Sideslip Angle Estimation Using Linear Kalman Filter with Neural Network-Based Covariance Adaptation
Abstract: A methodology for estimating the sideslip angle using a linear Kalman Filter with a model adaptation is presented. In this adaptation, neural networks are trained to estimate the model ...
Abstract: The conventional multiple linear regression model is limited by its inability to process high-dimensional datasets, susceptibility to multicollinearity, and challenges in modeling non-linear ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results