New chaotic memristive cellular neural network and its application in secure communication system

Published on Dec 1, 2020in Chaos Solitons & Fractals3.764
· DOI :10.1016/J.CHAOS.2020.110316
Chunbo Xiu2
Estimated H-index: 2
(Tianjin Polytechnic University),
Ruxia Zhou1
Estimated H-index: 1
,
Yuxia Liu1
Estimated H-index: 1
Source
Abstract
Abstract In order to improve the engineering feasibility of the memristive cellular neural network, a new memristor model with the smooth characteristic curve is designed. Based on the new memristor model, a new four-dimensional chaotic memristive cellular neural network (CNN) system is constructed, and its chaotic dynamic behaviors are analyzed. It can be applied to the secure communication based on the chaos synchronization control. Because both the external disturbances and uncertainties of internal parameters are maybe in the practical secure communication system, sliding mode control is used to perform the chaos synchronization between the sender and receiver. A new terminal sliding mode surface is designed to make the error system converge to zero in a finite time. Simulation results show that the new terminal sliding mode control has good robustness to the external disturbances and uncertainties of internal parameters, and the new chaotic memristive CNN system can be used in the secure communication by the chaos synchronization based on sliding mode control.
📖 Papers frequently viewed together
21 Citations
20182.46Complexity
5 Authors (Ping Liu, ..., Li Xiang)
8 Citations
References27
Newest
#1Dmitry FilatovH-Index: 4
#2A. S. NovikovH-Index: 2
Last. Bernardo Spagnolo (INFN: Istituto Nazionale di Fisica Nucleare)H-Index: 59
view all 12 authors...
2 CitationsSource
#1N. V. AgudovH-Index: 11
#2A. V. SafonovH-Index: 2
Last. Bernardo Spagnolo (INFN: Istituto Nazionale di Fisica Nucleare)H-Index: 59
view all 11 authors...
27 CitationsSource
24 CitationsSource
#1Lijian Yin (BIT: Beijing Institute of Technology)H-Index: 5
#2Zhihong Deng (BIT: Beijing Institute of Technology)H-Index: 15
Last. Yuanqing Xia (BIT: Beijing Institute of Technology)H-Index: 74
view all 4 authors...
A novel adaptive finite-time control method is investigated for the gyros systems in the presence of external disturbance. The fast nonsingular terminal sliding mode surface (NTSMS) is designed which has all advantages of NTSMS and general sliding mode surface together. Based on adaptive law and Lyapunov stability method, the novel proposed theorems are given and proven, and we can obtain that the synchronization errors converge to a small region including zero in finite time. Furthermore, it ca...
18 CitationsSource
ABSTRACTThis article mainly studies delayed fuzzy cellular neural networks. A sufficient criterion to guarantee the existence and exponential stability of anti-periodic solutions for this system is given. An example is given to support the obtained theoretical analysis. The obtained results play an important role in designing the neural networks and complement the earlier publications.
4 CitationsSource
#1Yunfei Yin (HIT: Harbin Institute of Technology)H-Index: 5
#2Jianxing Liu (HIT: Harbin Institute of Technology)H-Index: 26
Last. Leopoldo G. Franquelo (HIT: Harbin Institute of Technology)H-Index: 55
view all 7 authors...
This paper proposes a novel control strategy for three-level neutral-point-clamped (NPC) power converter. The proposed control scheme consists of three control loops, i.e., instantaneous power tracking control loop, voltage regulation loop, and voltage balancing loop. First, in the power tracking control loop, a set of adaptive sliding mode controllers are established to drive the active and reactive power tracking to their desired values via radial basis function neural network technology. In t...
64 CitationsSource
#1Xiao-Jian Li (NU: Northeastern University)H-Index: 19
#2Chong-Xiao Shi (NU: Northeastern University)H-Index: 7
Last. Guang-Hong Yang (NU: Northeastern University)H-Index: 82
view all 3 authors...
This paper is concerned with the observer-based adaptive output-feedback fault-tolerant control (FTC) problem for a class of complex dynamical networks (CDNs) with actuator faults. First, to address the coupling terms involved in the node dynamics, algebraic graph theory is used to design a new distributed state observer. Then, an observer-based adaptive output feedback FTC scheme is given to achieve the desired synchronization performance. Furthermore, via the Lyapunov analysis approach, it is ...
17 CitationsSource
#1Gangyi HuH-Index: 1
#2Sumeth YuenyongH-Index: 6
Last. Weili KouH-Index: 1
view all 5 authors...
2 CitationsSource
#1Xiaohong ZhangH-Index: 1
#2Wei Jiang (Jiangxi University of Science and Technology)H-Index: 1
A new-type four-dimensional cellular neural network (CNN) is designed, whose piecewise linear function is replaced by smooth continuous function as CNN output module, theoretical analysis proves the new system has chaotic characteristics. By adding two cells, this study generates flux-controlled memristor and creates a brand new six-dimensional memristive CNNs. With the purpose of verifying the validity of this scheme, universal electronic components are adopted to build a memristive module and ...
4 CitationsSource
#1Mauro Di Marco (UNISI: University of Siena)H-Index: 11
#2Mauro Forti (UNISI: University of Siena)H-Index: 25
Last. L. Pancioni (UNISI: University of Siena)H-Index: 15
view all 3 authors...
Recent papers in the literature introduced a class of neural networks (NNs) with memristors, named dynamic-memristor (DM) NNs, such that the analog processing takes place in the charge–flux domain, instead of the typical current–voltage domain as it happens for Hopfield NNs and standard cellular NNs. One key advantage is that, when a steady state is reached, all currents, voltages, and power of a DM-NN drop off, whereas the memristors act as nonvolatile memories that store the processing result....
33 CitationsSource
Cited By8
Newest
#1Yongbing Hu (Anda: Anhui University)H-Index: 1
#2Qian Li (Anda: Anhui University)
Last. Zhixin Zhang (Anda: Anhui University)
view all 7 authors...
Abstract null null In this paper, a fractional-order chaotic circuit with different coupled memristors is established. The dimensionality of the system is reduced by the flux-charge analysis method and the stability of the equilibrium points is analyzed by the fractional-order stability theory. Then, the complex dynamic behaviors, including periodic and chaotic attractors, period doubling bifurcation orbit, coexistence bifurcation, and asymmetric coexisting attractors, are studied by phase diagr...
Source
#1Shaohui Yan (Northwest Normal University)
#2Xi Sun (Northwest Normal University)
Last. Ertong Wang (Northwest Normal University)
view all 6 authors...
By introducing a sine function, a non-autonomous multi-wing chaotic system is proposed. The system has an infinite number of equilibrium points and produces symmetrical attractors. The complex dynamical behaviors of the system are demonstrated by phase portraits, Lyapunov exponents spectrum and bifurcation diagram. The effect of driving amplitudes and initial conditions on the resulting system dynamics is then thoroughly investigated. The resulting attractors will enter different oscillatory sta...
Source
#1Hairong Lin (Hunan University)H-Index: 8
#2Chunhua Wang (Hunan University)H-Index: 27
Last. Chao Zhou (Hunan University)H-Index: 4
view all 6 authors...
The study of dynamics on artificial neurons and neuronal networks is of great significance to understand brain functions and develop neuromorphic systems. Recently, memristive neuron and neural network models offer great potential in the investigation of neurodynamics. Many chaotic dynamics including chaos, transient chaos, hyperchaos, coexisting attractors, multistability, and extreme multistability have been researched based on the memristive neurons and neural networks. In this review, we fir...
Source
#1Gang Zhang (CQUPT: Chongqing University of Posts and Telecommunications)
#2Jiangtao Dong (CQUPT: Chongqing University of Posts and Telecommunications)
Last. Lifang He (CQUPT: Chongqing University of Posts and Telecommunications)
view all 3 authors...
In this paper, a noise reduction orthogonal multi-user correlated delay shift keying (NR-OMU-CDSK) noncoherent communication system based on frequency domain processing is proposed. In NR-OMU-CDSK, chaotic signal generated in frequency domain is converted to time domain through inverse Fourier transform, and then the real and imaginary components of the time domain signal are simultaneously modulated to two phase-orthogonal branches. The transmission rate and security performance of each branch ...
Source
In the current work, we are devoted to the issue of uniform stability of fractional-order quaternion-valued neural networks involving discrete and leakage delays. Making use of the contracting mapping theory, we prove that the equilibrium point of the involved fractional-order quaternion-valued neural networks exists and is unique. Taking advantage of mathematical analysis strategy, a sufficient criterion involving delay to verify the global uniform stability for the considered fractional-order ...
Source
#1Li Cui (Hunan University of Science and Technology)H-Index: 1
#2Chaoyang Chen (Hunan University of Science and Technology)
Last. Fei Yu (CSUST: Changsha University of Science and Technology)H-Index: 16
view all 4 authors...
A neural network is a model of the brain’s cognitive process, with a highly interconnected multiprocessor architecture. The neural network has incredible potential, in the view of these artificial neural networks inherently having good learning capabilities and the ability to learn different input features. Based on this, this paper proposes a new chaotic neuron model and a new chaotic neural network (CNN) model. It includes a linear matrix, a sine function, and a chaotic neural network composed...
2 CitationsSource
Last. F Renaldi
view all 7 authors...
Source
#1Aceng SambasH-Index: 12
Last. Mustafa MamatH-Index: 15
view all 8 authors...
2 CitationsSource