Synchronization of N-Non-Linear Slave Systems with Master System Using Non-Adaptive and Adaptive Coupled Observers
Ghayyur Hussain,
Muhammad Siddique,
Muhammad Majid Hussain,
Muhammad Tahir Hassan and
Naeem Aslam
Additional contact information
Ghayyur Hussain: Department of Electrical Engineering & Computer Science, NFC Institute of Engineering and Technology, Multan 66000, Pakistan
Muhammad Siddique: Department of Electrical Engineering & Computer Science, NFC Institute of Engineering and Technology, Multan 66000, Pakistan
Muhammad Majid Hussain: Department of Electrical and Electronic Engineering, University of South Wales, Pontypirdd CF37 1DL, UK
Muhammad Tahir Hassan: Department of Mechanical Engineering, Bahauddn Zakariya University, Multan 66000, Pakistan
Naeem Aslam: Department of Electrical Engineering & Computer Science, NFC Institute of Engineering and Technology, Multan 66000, Pakistan
Energies, 2021, vol. 14, issue 11, 1-16
Abstract:
Synchronization of N-slave chaotic systems with a master system is a challenging task, particularly in recent times. In this paper, a novel methodology is proposed for synchronizing the N number of slave systems with a master system. The proposed methodology is based on coupled adaptive synchronous observers. The difference between the corresponding states of master and slave systems is converged to the origin by means of a novel feedback control scheme to achieve synchronization between the master and slave systems. The efficacy of the proposed methodology is verified through a simulation of FitzHugh–Nagumo non-linear systems in MATLAB. The simulation results validate and prove claims, and these systems are successfully synchronized by CCS and CCAS observer-based control.
Keywords: synchronization; master and slave system; coupled chaotic synchronous observe; coupled chaotic adaptive synchronous observer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/14/11/3190/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/11/3190/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:11:p:3190-:d:565298
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().