4-D Memristive Chaotic Systems-Based Audio Secure Communication Using Dual-Function-Link Fuzzy Brain Emotional Controller

The exploiting of missile guidance law is one of the most important issue of defense systems. However, it is a complex nonlinear guidance control problem. In recent years, several intelligent algorithms have been employed for the missile guidance law design. This paper aims to provide a more effective intelligent neural network, and then apply it to missile guidance control. An elliptic type-2 function (ET2F) combined with a Takagi-Sugeno-Kang (TSK) fuzzy system (FS) based on a wavelet function and a brain imitated neural network (BINN) is proposed to produce a new Takagi-Sugeno-Kang elliptic type-2 fuzzy brain imitated neural network (TSKET2FBINN). The proposed TSKET2FBINN is then incorporated into the missile guidance law. The proposed missile guidance control system includes the TSKET2FBINN controller and a robust compensation controller. A Lyapunov function is used to generate parameter adjustment adaptive laws so as to guarantee system stability with fast tracking performance of missile guidance control system. By presenting three missile control scenarios, the effectiveness of the proposed method is then demonstrated. The miss-distance (MD) of the proposed method is calculated and compared to other recent guidance methods to demonstrate its superior performance.INDEX TERMS Elliptic type-2 function, TSK fuzzy system, brain imitated neural network, missile guidance law, command to line-of-sight.

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“…To mitigate the potential for approximation error in (59), we use an H∞ tracking power [26] in the following way:…”

Section: Robust Compensator Control System Designmentioning

confidence: 99%

“…The components of the BINN are: Input, Learning, Output, Emotion, Emotion Output, and Controller Output. By combining with other systems such as CMAC [13], [25], function-link [26], TSK fuzzy system [13], [27], wavelet type-2 fuzzy system [13], and type-2 fuzzy system [28], the performance of BINN can be improved.…”

Section: Introductionmentioning

confidence: 99%

Design of Missile Guidance Law Using Takagi-Sugeno-Kang (TSK) Elliptic Type-2 Fuzzy Brain Imitated Neural Networks

et al. 2023

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“…To show the quality of the proposed method for the secure communication system, the signal to noise ratio (SNR) is given for three channels per disturbances. The signal to noise ratio is presented as follows (Huynh et al, 2022; Giap et al, 2020, 2021):where xmi is original signal, Ns is number of samples, and mi is encrypted signal. The SNR should be greater than zero dB to confirm that the desired signal is greater than the noise.…”

Section: An Illustrative Examplementioning

confidence: 99%

Fixed-time supper twisting disturbance observer and sliding mode control for a secure communication of fractional-order chaotic systems

Nguyen

Vu²,

Huang

et al. 2023

Journal of Vibration and Control

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This paper proposed a new disturbance observer (DO) based on the fixed-time supper-twisting algorithm (FTSTA) for rejecting perturbations of secure communication of the fractional-order chaotic systems (FOCSs). First, the FOCSs are remodeled into the Takagi–Sugeno fuzzy (TSF) system with the expectation of softening the calculations of the design of the controller and observer. Second, the synchronization control was designed based on the FTSTA sliding mode control (SMC). Third, a new DO for the secure communication system (SCS) of FOCSs was proposed to estimate the disturbance on public channels and uncertainty variations. Fourth, the stability of the proposed synchronization control was obtained by using the Lyapunov condition. Finally, to verify the correction of the proposed method, the MATLAB simulation with the use of FONCOM toolbox was used to meet the desired expectations of theoretically proposed method. There are, small reaching times, small steady-states, and most tested disturbances and parameters’ variations were compensated by the proposed DO.

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“…The synchronization methods for the network systems can be found in [11][12][13][14]. The discussions of secure communications of chaotic systems with support of neural network controllers can be found in [15][16]. The encryption methods for images can be found [17][18].…”

Section: Introductionmentioning

confidence: 99%

An Optimal Homogenous Stability-Based Disturbance Observer and Sliding Mode Control for Secure Communication System

Nguyen

Pham²,

Thanh

et al. 2023

IEEE Access

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To prevent the loss of data or distortion of the real sent data in the secure communication, the disturbance and uncertainty rejection is very important technique. Especially, the secure communication of the chaotic system, where the master and slave systems are used to encrypt and decrypt the signal. These systems are should be a chaotic. The chaotic system is unpredictable and unstable. The security is obtained if the master and slave systems are synchronizing. Therefore, this paper proposes a new disturbance observer (DO) for estimating attacked signals on public channels and uncertain values of the secure communication system (SCS). First, a new condition of the reaching law was proposed via a homogenous stability condition, which was used to construct the disturbance observer and synchronization controller. Second, the proposed stability is applied to design a new DO for estimating the attacked signals on the public channels and the variations of the parameters of all master and slave systems (MSSs). Third, the MSSs were synchronized by the sliding mode control (SMC) with the same reaching law with the proposed DO. The calculations of controller and observer designs were based on the Takagi-Sugeno fuzzy (TSF) system, where the MSSs were taken into account as the fuzzy system. However, the TSF was used for calculation only. The original chaotic of MSSs were used to keep the characteristics of the chaos phenomenon. Final, the mathematically proven was provided to show the corrections of the proposed methods. To show the superior powers of the proposed method, the simulation of MATLAB software and experiment of local network via the internet router were used to conduct the logical analysis. The tested disturbances and uncertainties were mostly compensated by the proposed DO.

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4-D Memristive Chaotic Systems-Based Audio Secure Communication Using Dual-Function-Link Fuzzy Brain Emotional Controller

Cited by 10 publications

References 53 publications

Design of Missile Guidance Law Using Takagi-Sugeno-Kang (TSK) Elliptic Type-2 Fuzzy Brain Imitated Neural Networks

Design of Missile Guidance Law Using Takagi-Sugeno-Kang (TSK) Elliptic Type-2 Fuzzy Brain Imitated Neural Networks

Fixed-time supper twisting disturbance observer and sliding mode control for a secure communication of fractional-order chaotic systems

An Optimal Homogenous Stability-Based Disturbance Observer and Sliding Mode Control for Secure Communication System

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