This article presents novel model-based diagnostics of interturn short circuits in permanent
magnet synchronous machines that enable estimating fault location and its severity, even …

The real-time estimation of the time-varying Hammerstein system by using a noniterative
learning schema is considered and extended to incorporate a matrix forgetting factor. The …

This paper presents anti-windup co-estimation of open circuit voltage and equivalent circuit
model parameters for on-board diagnostics of a lithium-ion battery. The open circuit voltage …

This letter analyzes methods for deriving credible intervals to facilitate errors-in-variables
identification by expanding on Bayesian total least squares. The credible intervals are …

Bayesian parameter estimation of autoregressive (AR) with exogenous input (X) systems in
the presence of colored model noise is addressed. The stochastic system under …

The estimation of the Hammerstein system by using a noniterative learning schema is
considered, and a novel algorithm based on the Variational Bayes method is presented. To …

The paper deals with Bayesian identification of time variant normal regression models and
provides four key algorithms. The first two algorithms are designed for the on line …