Abstract: This paper presents a method for nonlinear system identification with Gaussian process regression. The unsupervised method is able to generate an approximation of the system with correct ...

This paper addresses the online model regression for time-varying manufacturing systems with random unknown model variations during production. We first extend the standard Gaussian process regression ...