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Publication
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| Title of Article |
New delay-dependent conditions for finite-time extended dissipativity based non-fragile feedback control for neural networks with mixed interval time-varying delays |
| Date of Acceptance |
8 July 2021 |
| Journal |
| Title of Journal |
Mathematics and Computers in Simulation |
| Standard |
ISI |
| Institute of Journal |
Elsevier, ScienceDirect |
| ISBN/ISSN |
0378-4754 |
| Volume |
2021 |
| Issue |
201 |
| Month |
November |
| Year of Publication |
2022 |
| Page |
684-713 |
| Abstract |
This paper studies the delay-dependent conditions for finite-time extended dissipativity based non-fragile feedback control for neural networks with mixed interval time-varying delays. By applying Jensen’s inequality, an extended Jensen’s double integral inequality, and a free matrix form inequality to the Lyapunov–Krasovskii functional (LKF), delay-dependent conditions are derived and solved by the Matlab control toolbox in terms of linear matrix inequalities (LMIs). By stability criteria, this paper is less conservative than the other works. In addition, we demonstrate the advantage of our obtained methods by five numerical examples. One practical example shows a real-world approach: the quadruple-tank process system (QTPS). |
| Keyword |
Finite-time bounded; Neural networks; Extended dissipativity; Non-fragile control; Time-varying delays |
| Author |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ตีพิมพ์แล้ว |
| Level of Publication |
นานาชาติ |
| citation |
true |
| Part of thesis |
true |
| Attach file |
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| Citation |
0
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Journal Publication
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