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

Can Zhao (), Jinde Cao (), Kaibo Shi (), Yiqian Tang, Shouming Zhong and Fawaz E. Alsaadi
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Can Zhao: School of Information Science and Engineering, Chengdu University, Chengdu 610106, China
Jinde Cao: School of Mathematics, Frontiers Science Center for Mobile Information Communication and Security, Southeast University, Nanjing 210096, China
Kaibo Shi: School of Information Science and Engineering, Chengdu University, Chengdu 610106, China
Yiqian Tang: School of Information Science and Engineering, Chengdu University, Chengdu 610106, China
Shouming Zhong: School of Mathematics Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
Fawaz E. Alsaadi: Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia

Mathematics, 2022, vol. 10, issue 19, 1-24

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: event-triggered scheme; event-triggered control; complex dynamical networks; exponential synchronization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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