Nonlinear system identification is an extremely broad topic, since every system that is not
linear is nonlinear. That makes it impossible to give a full overview of all aspects of the fi eld …

In this tutorial paper, control design aspects of wafer scanners used in the semiconductor
industry will be highlighted. At the same time, challenges for control design development as …

As a prerequisite of accurate process analysis, prediction and optimization, the precise
identification of process dynamic characteristics is of great significance. Traditional …

Fast steering mirror (FSM) is a crucial component in high-precision optical systems.
However, the flexible resonance modes and complex interaxial coupling characteristics of …

Due to the advancement in computational intelligence and machine learning methods and
the abundance of data, there is a surge in the use of data-driven models in different …

In magnetic confinement thermonuclear fusion the exhaust of heat and particles from the
core remains a major challenge. Heat and particles leaving the core are transported via …

This paper presents a data-driven framework to quantitatively analyze the disturbance
amplification behavior of automated vehicles in car-following (CF). The data-driven …

This paper introduces a user-friendly estimation framework for industrial measurements of
vibro-acoustic systems with multiple inputs. Many mechanical structures are inherently …

Grid characteristics have a drastic impact on the stability and control performance of grid-
connected systems. Because the grid conditions typically vary over time, online …

Estimating the impedance of lithium-ion cells is of increasing interest, especially on-board
electric vehicles to enlarge their diagnostic capabilities. Therefore, an innovative approach …