Memristive hyperchaos secure communication based on sliding mode control

Xiu, Chunbo; Zhou, Ruxia; Zhao, Shaoda; Xu, Guowei

doi:10.1007/s11071-021-06302-9

Cited by 32 publications

(19 citation statements)

References 27 publications

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“…Furthermore, the finite-time control strategies have demonstrated better robustness and disturbance rejection properties (Yu, 2010). However, due to the application of the proposed nonlinear dynamic system in the implementation of secure communication system, and also due to the characteristics of the communication channel such as noise and parametric uncertainty, the adaptive nonsingular integral-type sliding mode controller introduced in this paper can overcome time-varying parametric uncertainties and time-varying external disturbances (Xiu et al, 2021a; Zhang et al, 2020).…”

Section: Numerical Simulationmentioning

confidence: 99%

“…Nonlinear systems such as chaotic systems were shown to have many useful applications in many engineering systems such as chemical reactors (Berezowski, 2020), genetic control systems (Azar and Vaidyanathan, 2015), power converters (Lv et al, 2019), lasers (Bao et al, 2020), biological systems (Justin et al, 2020), permanent-magnet motors (Lu and Wang, 2020), and secure communication systems (Chan et al, 2020; Xiu et al, 2021b). The control (Ouannas et al, 2020), tracking, or synchronization (Godavarthi et al, 2020; Ma et al, 2021) of these systems has a vital role in the engineering applications.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive nonsingular integral-type dynamic terminal sliding mode synchronizer for disturbed nonlinear systems and its application to secure communication systems

Vaseghi

Mobayen

Din

et al. 2022

Journal of Vibration and Control

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This study proposes an adaptive nonsingular integral dynamic terminal sliding mode tracker/synchronizer for disturbed nonlinear systems along with its usage in safe communication systems. The convergence of the closed-loop structure under unknown uncertainty and disturbances is guaranteed via Lyapunov analysis. Furthermore, a parameter-tuning method is planned to approximate the upper bound of uncertainty and disturbance terms, since this latter is typically unknown in practice. The proposed approach is used to design a digital secure transmission scheme according to the chaotic systems. The effectiveness of the suggested approach is validated using computer simulations on a benchmark example of chaotic system. The obtained outcomes clearly confirm the ability of the planned control approach enables to attain the desired tracking/synchronizing performance despite the disturbances. Additionally, when implemented to the data encryption of a communication system, the proposed control and secure communication techniques enabled the complete and secure retrieval of the original digital sequences.

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Section: Numerical Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive nonsingular integral-type dynamic terminal sliding mode synchronizer for disturbed nonlinear systems and its application to secure communication systems

Vaseghi

Mobayen

Din

et al. 2022

Journal of Vibration and Control

View full text Add to dashboard Cite

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“…These two systems can be coupled in one direction, also known as master-slave configuration, where the autonomous system with hyperchaotic dynamics is called the master system, and the other system forced to follow the hyperchaotic behavior by the coupling input is called the slave system. Many techniques have been introduced and successfully applied to synchronize identical or dissimilar chaotic systems including linear feedback control [26], sliding mode control [27,28,29], and so on. It is well known the controller plays a crucial role in synchronization implementation.…”

Section: Introductionmentioning

confidence: 99%

LQR Chaos Synchronization for a Novel Memristor-Based Hyperchaotic Oscillator

Xiao

2022

Mathematics

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In a three-dimensional dissipative chaotic system circuit, by superimposing a cubic magnetron-type memristor and connecting a feedback circuit, a new four-dimensional synchronous controlling system is established. The control parameters have a significant impact on the system, and the system displays rich dynamic features such as hyperchaos, chaos, and period states. At the same time, the synchronization scheme for the chaotic system is designed based on the linear quadratic regulator (LQR), which effectively improves the system response speed and reduces the complexity of the synchronous controlling system. Further, numerical verification is carried out. Finally, a detailed verification of the chaotic system's dynamic characteristics is performed by hardware simulation. Simulation results and performance analysis show that the proposed method has synchronous controlling performance. Compared to some existing synchronous controlling schemes, this method is more widely applicable.

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“…In recent years, various constructions of chaotic systems have been proposed [13][14][15][16][17][18]. So far, chaotic systems have been widely used in various fields that already exist, such as synchronization [19][20][21], secure communication [22,23], neural network chaotic systems [24][25][26][27][28][29][30][31][32], and PRNGs [33][34][35][36][37][38]. Among them, PRNGs based on chaotic systems are the most fundamental applications of chaotic systems.…”

Section: Introductionmentioning

confidence: 99%

Design and FPGA Implementation of a Pseudo-random Number Generator Based on a Hopfield Neural Network Under Electromagnetic Radiation

Zhang

Shen

et al. 2021

Front. Phys.

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When implementing a pseudo-random number generator (PRNG) for neural network chaos-based systems on FPGAs, chaotic degradation caused by numerical accuracy constraints can have a dramatic impact on the performance of the PRNG. To suppress this degradation, a PRNG with a feedback controller based on a Hopfield neural network chaotic oscillator is proposed, in which a neuron is exposed to electromagnetic radiation. We choose the magnetic flux across the cell membrane of the neuron as a feedback condition of the feedback controller to disturb other neurons, thus avoiding periodicity. The proposed PRNG is modeled and simulated on Vivado 2018.3 software and implemented and synthesized by the FPGA device ZYNQ-XC7Z020 on Xilinx using Verilog HDL code. As the basic entropy source, the Hopfield neural network with one neuron exposed to electromagnetic radiation has been implemented on the FPGA using the high precision 32-bit Runge Kutta fourth-order method (RK4) algorithm from the IEEE 754-1985 floating point standard. The post-processing module consists of 32 registers and 15 XOR comparators. The binary data generated by the scheme was tested and analyzed using the NIST 800.22 statistical test suite. The results show that it has high security and randomness. Finally, an image encryption and decryption system based on PRNG is designed and implemented on FPGA. The feasibility of the system is proved by simulation and security analysis.

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Memristive hyperchaos secure communication based on sliding mode control

Cited by 32 publications

References 27 publications

Adaptive nonsingular integral-type dynamic terminal sliding mode synchronizer for disturbed nonlinear systems and its application to secure communication systems

Adaptive nonsingular integral-type dynamic terminal sliding mode synchronizer for disturbed nonlinear systems and its application to secure communication systems

LQR Chaos Synchronization for a Novel Memristor-Based Hyperchaotic Oscillator

Design and FPGA Implementation of a Pseudo-random Number Generator Based on a Hopfield Neural Network Under Electromagnetic Radiation

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