PMID- 38261569 OWN - NLM STAT- MEDLINE DCOM- 20240125 LR - 20240201 IS - 1932-6203 (Electronic) IS - 1932-6203 (Linking) VI - 19 IP - 1 DP - 2024 TI - Comparative analysis and FPGA realization of different control synchronization approaches for chaos-based secured communication systems. PG - e0291714 LID - 10.1371/journal.pone.0291714 [doi] LID - e0291714 AB - Synchronization of the chaotic systems has attracted much attention in recent years due to its vital applications in secured communication systems. In this paper, an implementation and comparative analysis of two different control approaches for synchronization between two identical four-dimensional hyperchaotic systems is presented. The two control approaches are the Adaptive nonlinear controller and the linear optimal quadratic regulator LQR. To demonstrate the effectiveness of each controller, the numerical simulation is presented using Matlab/Simulink and the control law is derived. The performance of the proposed controllers is compared based on four factors; response time, squared error integration, energy applied from the controller, and cost function. To measure the robustness of the control approaches, the performance factors are compared when there is a change in system parameters and a variation in the initial conditions. Then the proposed synchronization methods are implemented on the FPGA platform to demonstrate the utilized resources on Field Programmable Gate Array (FPGA) hardware platform and the operation speed. Finally, to generalize the results of the comparison, the study is implemented for the synchronization of another secured communication system consisting of two identical three-dimensional chaotic. The experimental results show that the LQR method is more effective than the Adaptive controller based on the performance factors we propose. Moreover, the LQR is much simpler to implement on hardware and requires fewer resources on the FPGA. CI - Copyright: (c) 2024 Bonny et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. FAU - Bonny, Talal AU - Bonny T AUID- ORCID: 0000-0003-1111-0304 AD - Department of Computer Engineering, University of Sharjah, Sharjah, United Arab Emirates. FAU - Al Nassan, Wafaa AU - Al Nassan W AD - Department of Computer Engineering, University of Sharjah, Sharjah, United Arab Emirates. FAU - Sambas, Aceng AU - Sambas A AUID- ORCID: 0000-0002-1623-0770 AD - Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Gong Badak, Terengganu, Malaysia. AD - Department of Mechanical Engineering, Universitas Muhammadiyah Tasikmalaya, Tasikmalaya, Jawa Barat, Indonesia. LA - eng PT - Journal Article DEP - 20240123 PL - United States TA - PLoS One JT - PloS one JID - 101285081 SB - IM MH - Computer Simulation MH - *Durable Medical Equipment MH - Reaction Time MH - *Communication PMC - PMC10824461 COIS- The authors have declared that no competing interests exist. EDAT- 2024/01/23 18:42 MHDA- 2024/01/25 06:43 PMCR- 2024/01/23 CRDT- 2024/01/23 13:33 PHST- 2023/06/10 00:00 [received] PHST- 2023/09/04 00:00 [accepted] PHST- 2024/01/25 06:43 [medline] PHST- 2024/01/23 18:42 [pubmed] PHST- 2024/01/23 13:33 [entrez] PHST- 2024/01/23 00:00 [pmc-release] AID - PONE-D-23-16430 [pii] AID - 10.1371/journal.pone.0291714 [doi] PST - epublish SO - PLoS One. 2024 Jan 23;19(1):e0291714. doi: 10.1371/journal.pone.0291714. eCollection 2024.