Robust Stabilization of Linear Time-Delay Systems under Denial-of-Service Attacks.

DoS attacks LMI approach PID-like state feedback control robust control time-delay systems

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
21 Jun 2023
Historique:
received: 21 02 2023
revised: 19 03 2023
accepted: 07 06 2023
medline: 17 7 2023
pubmed: 14 7 2023
entrez: 14 7 2023
Statut: epublish

Résumé

This research examines new methods for stabilizing linear time-delay systems that are subject to denial-of-service (DoS) attacks. The study takes into account the different effects that a DoS attack can have on the system, specifically delay-independent and -dependent behaviour. The traditional proportional-integral-derivative (PID) acts on the error signal, which is the difference between the reference input and the measured output. The approach in this paper uses what we call the PID state feedback strategy, where the controller acts on the state signal. Our proposed strategy uses the Lyapunov-Krasovskii functional (LKF) to develop new linear matrix inequalities (LMIs). The study considers two scenarios where the time delay is either a continuous bounded function or a differentiable and time-varying function that falls within certain bounds. In both cases, new LMIs are derived to find the PID-like state feedback gains that will ensure robust stabilization. The findings are illustrated with numerical examples.

Identifiants

pubmed: 37447623
pii: s23135773
doi: 10.3390/s23135773
pmc: PMC10347111
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

IEEE Trans Cybern. 2020 May;50(5):1952-1964
pubmed: 30908254
IEEE Trans Cybern. 2022 Jan;52(1):700-711
pubmed: 32092031

Auteurs

Abdul-Wahid A Saif (AA)

Interdisciplinary Center of Smart Mobility and Logistics, King Fahd University of Petroleum and Minerals, P.O. Box 5067, Dhahran 31261, Saudi Arabia.
Control and Instrumentation Engineering Department, King Fahd University of Petroleum and Minerals, P.O. Box 5067, Dhahran 31261, Saudi Arabia.

Sami El-Ferik (S)

Interdisciplinary Center of Smart Mobility and Logistics, King Fahd University of Petroleum and Minerals, P.O. Box 5067, Dhahran 31261, Saudi Arabia.
Control and Instrumentation Engineering Department, King Fahd University of Petroleum and Minerals, P.O. Box 5067, Dhahran 31261, Saudi Arabia.

Siddig M Elkhider (SM)

Interdisciplinary Center of Smart Mobility and Logistics, King Fahd University of Petroleum and Minerals, P.O. Box 5067, Dhahran 31261, Saudi Arabia.

Articles similaires

Humans Meta-Analysis as Topic Sample Size Models, Statistical Computer Simulation
Humans Algorithms Software Artificial Intelligence Computer Simulation

Unsupervised learning for real-time and continuous gait phase detection.

Dollaporn Anopas, Yodchanan Wongsawat, Jetsada Arnin
1.00
Humans Gait Neural Networks, Computer Unsupervised Machine Learning Walking
Humans Shoulder Fractures Tomography, X-Ray Computed Neural Networks, Computer Female

Classifications MeSH