JOURNAL ARTICLE

Improved Nonfragile Sampled-Data Event-Triggered Control for the Exponential Synchronization of Delayed Complex Dynamical Networks

Can ZhaoJinde CaoKaibo ShiYiqian TangShouming ZhongFawaz E. Alsaadi

Year: 2022 Journal:   Mathematics Vol: 10 (19)Pages: 3504-3504   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

The exponential synchronization of complex dynamical networks (CDNs) under improved nonfragile sampled-data event-triggered control (INFSDETC) is investigated in this study. A meaningful yet challenging issue is solved, namely, it can adjust the triggering mode and the triggering frequency to adapt to more situations in the event-triggered scheme in which it is able to adjust the triggering condition exponentially and linearly, and dynamically adjust the triggering according to the time and state. By using control theory and Lyapunov analysis theory, an improved event-triggered controller was constructed for more intelligent control and to ensure exponential synchronization for CDNs. Lastly, significant numerical simulation examples are developed to show the usefulness and the performance of the proposed methods.

Keywords:
Control theory (sociology) Synchronization (alternating current) Controller (irrigation) Computer science Control (management) Exponential function Scheme (mathematics) Lyapunov function State (computer science) Event (particle physics) Exponential growth Mathematics Algorithm Artificial intelligence Physics Nonlinear system

Metrics

3
Cited By
0.64
FWCI (Field Weighted Citation Impact)
34
Refs
0.63
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Nonlinear Dynamics and Pattern Formation
Physical Sciences →  Computer Science →  Computer Networks and Communications
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications

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