In recent decades, increasingly intensive research attention has been given to dynamical
systems containing delays and those affected by the after-effect phenomenon. Such …

Virtual sensors, or soft sensors, have greatly contributed to the evolution of the sensing
systems in industry. The soft sensors are process models having three fundamental …

Deep neural networks are among the most widely applied machine learning tools showing
outstanding performance in a broad range of tasks. We present a method for folding a deep …

In this paper the prescribed-time output feedback stabilization of linear systems is addressed
using both a functional observer, which includes the reduced-order observer as a special …

We study stability of linear systems with fast almost periodic coefficients that are piecewise-
continuous in time. The classical averaging method guarantees the stability of such systems …

Static output-feedback stabilization for the n th order vector differential equations by using
artificial multiple delays is considered. Under assumption of the stabilizability of the system …

The results presented in this paper deal with the design of a current sensorless delay-based
controller for the closed-loop stabilization of a photovoltaic system under an MPPT scheme …

Control and communication technologies are key building blocks of cyber-physical systems
(CPSes) that can improve the efficiency of the physical processes. However, they also make …

The focus of this contribution is twofold. The first part aims at the rigorous and complete
analysis of pole loci of a simple delayed model, the characteristic function of which is …

The leader-following consensus method is studied in the connected vehicle systems (CVSs)
with the constant time delay. Based on the neighboring vehicle information, the distributed …