Discrete‐time dynamic event‐triggered H∞ control of uncertain neural networks subject to time delays and disturbances

The event‐triggered H∞$$ {H}_{\infty } $$ control problem for uncertain neural networks subject to time‐varying delays and disturbances was considered in this article. A method based on a novel discrete‐time dynamic event‐triggered mechanism and an event‐triggered control is proposed to solve the pr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Optimal control applications & methods Jg. 44; H. 4; S. 1651 - 1670
1. Verfasser: Huong, Dinh Cong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Glasgow Wiley Subscription Services, Inc 01.07.2023
Schlagworte:
discrete‐time event‐triggered mechanisms
Disturbances
H-infinity control
H∞$$ {H}_{\infty } $$ control
Linear matrix inequalities
linear matrix inequality
Lyapunov function
Mathematical analysis
Neural networks
time‐delay systems
ISSN:0143-2087, 1099-1514
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The event‐triggered H∞$$ {H}_{\infty } $$ control problem for uncertain neural networks subject to time‐varying delays and disturbances was considered in this article. A method based on a novel discrete‐time dynamic event‐triggered mechanism and an event‐triggered control is proposed to solve the problem of event‐triggered H∞$$ {H}_{\infty } $$ control for the considered neural networks. By employing the Lyapunov–Krasovskii functional method, the Cauchy matrix inequality, and the Schur complement lemma, we derive a sufficient condition to guarantee the event‐triggered H∞$$ {H}_{\infty } $$ control problem is solved. This sufficient condition is formed in terms of linear matrix inequalities, which can be effectively solved by using the MATLAB LMI Control Toolbox. Two examples and simulations are provided to illustrate the efficiency of the proposed method.
Bibliographie:Funding information
None
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0143-2087
1099-1514
DOI:10.1002/oca.2945