The increasing integration of variable renewable energy resources through power
electronics has brought about substantial changes in the structure and dynamics of modern …

Cavitation is a quasi-periodic process, and its non-stationarity leads to increasingly complex
flow field structures. On the other hand, characterizing the flow field with greater precision …

A prerequisite to dynamic state estimation of a stochastic nonlinear dynamic model of a
power system is its observability analysis. However, due to the model nonlinearity, the …

The problem of short term load forecasting (STLF) for power grids using the dynamic mode
decomposition with control (DMDc) is considered. A forecasting model is discovered from …

A spatio-temporal method based on Robust Three-stage Dynamic Mode Decomposition
(RTDMD) is proposed to improve the modal parameter estimation of synchrophasor data in …

Quadrotor systems are common and beneficial in many fields, but their intricate behavior
often makes it challenging to design effective and optimal control strategies. Some …

Abstract Hand Gesture Recognition (HGR) with complexity and diversity of hand images in
uncontrolled environment is a challenging task because of complex backgrounds, light …

Many physical systems exhibit translational invariance, meaning that the underlying physical
laws are independent of the position in space. Data driven approximations of the infinite …

This letter presents a data-driven method for constructing a Koopman linear model based on
the Direct Encoding (DE) formula. The prevailing methods, Dynamic Mode Decomposition …

The concept of Digital Twin has recently emerged, which requires the transmission of a
massive amount of sensor data with low latency and high reliability. Analog error correction …