Several studies show that grid-integrated renewable energy (RE) sources have the potential
to replace conventional synchronous generators in the network. This means the grid will …

In this study, the authors present an overview of closed‐loop subspace identification
methods found in the recent literature. Since a significant number of algorithms has …

Battery equivalent circuit models (ECMs) are widely employed in online battery
management applications. The model parameters are known to vary according to the …

This is a revised version of the 1984 book of the same name but considerably modified and
enlarged to accommodate the developments in recursive estimation and time series …

Many processes in science and engineering can be described by partial differential
equations (PDEs). Traditionally, PDEs are derived by considering first principles of physics …

This is the final paper in a Comments and Controversies series dedicated to “The
identification of interacting networks in the brain using fMRI: Model selection, causality and …

The topic of stochastic approximation (SA) and its pioneer algorithm (the Robbins-Monro
(RM) algorithm) with methods for its convergence analysis are described. Algorithms …

This paper deals with continuous-time system identification using fractional differentiation
models. An adapted version of the simplified refined instrumental variable method is first …

Offline robot dynamic identification methods are mostly based on the use of the inverse
dynamic model, which is linear with respect to the dynamic parameters. This model is …

This paper presents tailor-made neural model structures and two custom fitting criteria for
learning dynamical systems. The proposed framework is based on a representation of the …