Abstract This paper presents a secure communication system based on chaos synchronization using brain emotional learning-based intelligent controller (BELBIC). Uncertainties, including parametric uncertainties and external disturbances are approximated using emotional learning. The obtained estimation is used in the controller or observer to apply appropriate input to the receiver to synchronize the chaotic signals of transmitter and receiver. The proposed system can effectively reduce the synchronization error. In comparison with other intelligent systems such as neuro-fuzzy systems, brain emotional learning has a more straightforward structure and consequently its tuning is simpler. Stability analysis using Lyapunov direct method guarantees that internal signals are bounded and the synchronization error converges to zero. Moreover, for secure communication and cryptography, an observer using emotional learning is developed. Simulation results verify the satisfactory performance of the proposed synchronization controller and observer.
Last. Shouming Zhong(University of Electronic Science and Technology of China)H-Index: 46
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This paper deals with the issue of sampled-data stabilization for T-S fuzzy systems (TSFSs) with state delays and nonuniform sampling. First, a fuzzy membership function (FMFs)-dependent approach is proposed, which uses information not only on both the delayed state and actual sampling pattern but also on the FMFs. Second, the inner sampling interval is split into flexible terminals, and a novel FMFs-dependent Lyapunov-Krasovskii functional (LKF) is constructed. Meanwhile, a fuzzy sampled-data c...
#1Fuzhong Nian(Lanzhou University of Technology)H-Index: 11
#2Xinmeng Liu(Lanzhou University of Technology)H-Index: 1
Last. Yaqiong Zhang(Lanzhou University of Technology)H-Index: 1
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Combined with RBF neural network and sliding mode control, the synchronization between drive system and response system was achieved in module space and phase space, respectively (module-phase sync...
Last. Huilan Yang(SWU: Southwest University)H-Index: 3
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This paper investigates the issue of sampled-data stabilization for Takagi-Sugeno fuzzy memristive neural networks (FMNNs) with time-varying delay. First, the concerned FMNNs are transformed into the tractable fuzzy NNs based on the excitatory and inhibitory of memristive synaptic weights using a new convex combination technique. Meanwhile, a switched fuzzy sampled-data controller is employed for the first time to tackle stability problems related to FMNNs. Then, the novel stabilization criteria...
Abstract In this paper, a polynomial-fuzzy-model-based design methodology to synchronize multi-scroll Chen chaotic systems is proposed for secure communication. At first, the architecture of secure communication system (SCS) based on the synchronization of multi-scroll Chen chaotic systems is presented. Then, the master and slave multi-scroll Chen chaotic systems are transformed into the equivalent master and slave polynomial fuzzy models respectively. After that, the H ∞ polynomial fuzzy contro...
#2Zhi Yang(SYSU: Sun Yat-sen University)H-Index: 9
Last. Kongming Peng(SYSU: Sun Yat-sen University)H-Index: 1
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A method using sliding mode control (SMC) and wavelet neural networks (WNN) is proposed, investigated and exploited for synchronizing master and slave chaotic systems with uncertain model and unknown interference. In this paper, integral sliding surface and applying WNN for approximating uncertain model and unknown interference are further developed for designing adaptive sliding mode controller. Mexican hat wavelet function is used as activation function in WNN. The adaptive laws of network par...
#2Xinzhi Liu(UW: University of Waterloo)H-Index: 62
Last. Qishui Zhong(University of Electronic Science and Technology of China)H-Index: 10
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Abstract This paper focuses on the problem of extended dissipative sampled-data synchronization for a class of complex networks with communication delays. It designs for the first time an aperiodic memory sampled-data feedback control protocol to solve extended dissipative synchronization issues of such networks. In contrast to most existing works, the constructed Lyapunov functional is not necessarily positive definite on sampling intervals, and the extended dissipative index can be transformed...
In this study, a new fuzzy robust backstepping controller with estimation is proposed for the control of a robot manipulator. Backstepping control is preferred because the Lyapunov function that is...
Abstract In this work, a simple robust controller is developed for digital secure communication between two different chaotic systems (Duffing-Holmes oscillator and chaotic gyro) with uncertainties, external disturbances, and unknown parameters in a finite time by combining adaptive backstepping and terminal sliding mode approaches. The terminal sliding mode control (TSM) provides faster convergence and higher-precision control than the conventional sliding control. However, not only the origina...
In this study, a new controller for chaos synchronization is proposed. It consists of a state feedback controller and a robust control term using Legendre polynomials to compensate for uncertainties. The truncation error is also considered. Due to the orthogonal functions theorem, Legendre polynomials can approximate nonlinear functions with arbitrarily small approximation errors. As a result, they can replace fuzzy systems and neural networks to estimate and compensate for uncertainties in cont...
Abstract Artificial neural networks are an integral part of emerging technologies, and ongoing research has shown that they can be applied to a variety of applications. This paper proposes a new cryptographic algorithm using chaotic neural networks, whose function is enhanced by construction with polynomials that exhibit chaos, namely, nonlinear Hermite and Chebyshev polynomials. These polynomials incorporate a memristor conductance, which is used as an activation function in the chaotic neural ...
In this article, a simple yet efficient adaptive control method is proposed to investigate synchronizing two chaotic systems. This approach presents an improved type-2 fuzzy wavelet neural network ...
#1Ali Soleimanizadeh(Islamic Azad University South Tehran Branch)H-Index: 1
#2Mohammad Ali Nekoui(Islamic Azad University South Tehran Branch)H-Index: 14
In this paper, the synchronization problem of two different fractional-order chaotic systems has been investigated. Variable fractional orders are considered in this problem. An optimal synchronization strategy is defined for the fractional case. The optimality conditions are obtained using the fuzzy modeling of fractional-order systems. These models are with the type-1 and type-2 Takagi–Sugeno structures. Also, using chaotic masking, the synchronization method is applied for secure communicatio...
