Family of controllers for predefined-time synchronization of Lorenz-type systems and the Raspberry Pi-based implementation

Martínez-Fuentes, Oscar; Díaz-Muñoz, Jonathan Daniel; Muñoz-Vázquez, Aldo Jonathan; Tlelo-Cuautle, Esteban; Fernández-Anaya, Guillermo; Cruz-Vega, Israel

doi:10.1016/j.chaos.2024.114462

Cited by 6 publications

(2 citation statements)

References 55 publications

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“…However, in our study, the noise from quantization is much lower than the noise in the communication channel, and the set of modulation parameters under investigation are sufficient for 12-bit quantization of DAC/ADC and do not affect the quality of message transmission. The use of high-performance platforms such as Raspberry Pi [29,50] and FPGA [51][52][53] with higher-bit resolutions of DAC/ADC can increase the quantitative characteristics of the communication system. However, this work is aimed at assessing the qualitative characteristics and presenting a modulation method that has not previously been described in the scientific literature.…”

Section: Methodsmentioning

confidence: 99%

“…Ouannas et al propose a new secure communications approach that is obtained by combining into one scheme the chaotic modulation, recursive encryption, and chaotic masking [20]. Oscar Martínez-Fuentes et al [29] implemented a secure communication system for image encryption using the Raspberry Pi platform with MQTT for IoT protocol for transmission. Some other studies have been conducted on the use of chaotic oscillators in Internet of Things applications.…”

Section: Introductionmentioning

confidence: 99%

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Coherent Chaotic Communication Using Generalized Runge–Kutta Method

Babkin,

Rybin,

Andreev

et al. 2024

Mathematics

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Computer simulation of continuous chaotic systems is usually performed using numerical methods. The discretization may introduce new properties into finite-difference models compared to their continuous prototypes and can therefore lead to new types of dynamical behavior exhibited by discrete chaotic systems. It is known that one can control the dynamics of a discrete system using a special class of integration methods. One of the applications of such a phenomenon is chaos-based communication systems, which have recently attracted attention due to their high covertness and broadband transmission capability. Proper modulation of chaotic carrier signals is one of the key problems in chaos-based communication system design. It is challenging to modulate and demodulate a chaotic signal in the same way as a conventional signal due to its noise-like shape and broadband characteristics. Therefore, the development of new modulation–demodulation techniques is of great interest in the field. One possible approach here is to use adaptive numerical integration, which allows control of the properties of the finite-difference chaotic model. In this study, we describe a novel modulation technique for chaos-based communication systems based on generalized explicit second-order Runge–Kutta methods. We use a specially designed test bench to evaluate the efficiency of the proposed modulation method and compare it with state-of-the-art solutions. Experimental results show that the proposed modulation technique outperforms the conventional parametric modulation method in both coverage and noise immunity. The obtained results can be efficiently applied to the design of advanced chaos-based communication systems as well as being used to improve existing architectures.

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