System identification is fundamental in many recent state-of-the-art developments in power
electronic such as modeling, parameter tracking, estimation, self-tuning and adaptive …

This book is focused on the fundamental aspects of analysis, modeling and design of digital
control loops around high-frequency switched-mode power converters in a systematic and …

To achieve high-performance control of modern dc-dc converters, using direct digital design
techniques, an accurate discrete model of the converter is necessary. In this paper, a new …

System Identification (SI) is a discipline in control engineering concerned with inferring
mathematical models from dynamic systems based on its input/output observations. Rich …

This paper introduces a fully integrated 12-to-1. xV voltage regulator module IC. A fully
synthesizable digital two-loop controller has been realized through hardware description …

This paper depicts a self‐tuning adaptive control method along with a novel robust
procedure to system identification which is applied to a single‐phase full‐bridge Inverter …

This study presents an approach to system identification and adaptive control of a non‐
inverting buck–boost converter in the presence of large signal changes, uncertainty of …

This paper presents simulation and modeling of two-level DC/DC boost converter using
system identification technique. The main objective is to identify the unknown mathematical …

This paper presents the experimental implementation of a buck converter with quasi-sliding
mode control combined with a loss estimator function. An online loss estimator is developed …

This paper proposes a novel hybrid technique for machine-learning-based fault detection in
power systems. Since typical power systems, such as the considered example of a buck …