Sampled-data control systems with non-uniform sampling: A survey of methods and trends

XM Zhang, QL Han, X Ge, B Ning, BL Zhang - Annual Reviews in Control, 2023 - Elsevier
The convergence of sensing, computing, communication and control elements drives the
traditional point-to-point control systems towards networked control systems. Sampled-data …

[HTML][HTML] A survey on machine-learning based security design for cyber-physical systems

S Kim, KJ Park - Applied Sciences, 2021 - mdpi.com
A cyber-physical system (CPS) is the integration of a physical system into the real world and
control applications in a computing system, interacting through a communications network …

Yet another tutorial of disturbance observer: robust stabilization and recovery of nominal performance

H Shim, G Park, Y Joo, J Back, NH Jo - Control Theory and Technology, 2016 - Springer
This paper presents a tutorial-style review on the recent results about the disturbance
observer (DOB) in view of robust stabilization and recovery of the nominal performance. The …

[KNIHA][B] Errors-in-variables methods in system identification

T Söderström - 2018 - books.google.com
This book presents an overview of the different errors-in-variables (EIV) methods that can be
used for system identification. Readers will explore the properties of an EIV problem. Such …

Predictive cost adaptive control: A numerical investigation of persistency, consistency, and exigency

TW Nguyen, SAU Islam, DS Bernstein… - IEEE Control …, 2021 - ieeexplore.ieee.org
Among the multitude of modern control methods, model predictive control (MPC) is one of
the most successful–. As noted in “Summary,” this success is largely due to the ability of …

On sampled-data models for nonlinear systems

JI Yuz, GC Goodwin - IEEE transactions on automatic control, 2005 - ieeexplore.ieee.org
Models for deterministic continuous-time nonlinear systems typically take the form of
ordinary differential equations. To utilize these models in practice invariably requires …

An efficient hybrid swarm intelligence optimization algorithm for solving nonlinear systems and clustering problems

MA Tawhid, AM Ibrahim - Soft Computing, 2023 - Springer
This article proposes a new hybrid swarm intelligence optimization algorithm called
monarch butterfly optimization (MBO) algorithm with cuckoo search (CS) algorithm, named …

Asymptotic tracking and dynamic regulation of SISO non‐linear system based on discrete multi‐dimensional Taylor network

HS Yan, AM Kang - IET Control Theory & Applications, 2017 - Wiley Online Library
For non‐linear control, it is important to secure a generally structured controller that
promises wide application and desirable performance. This study deals with the problem of …

A novel degradation modeling and prognostic framework for closed-loop systems with degrading actuator

X Si, Z Ren, X Hu, C Hu, Q Shi - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
This article presents a novel degradation modeling and prognostic method for a class of
closed-loop feedback systems with degrading actuators. Toward this end, we first present a …

Regulation of a DC/DC boost converter under parametric uncertainty and input voltage variation using nested reduced-order PI observers

IH Kim, YI Son - IEEE Transactions on Industrial Electronics, 2016 - ieeexplore.ieee.org
DC/DC boost converters are known for presenting highly nonlinear and nonminimum phase
properties. This paper combines a predesigned cascade controller and nested reduced …