A5019718261- Chaos control and synchronization
- stochastic dynamics and bifurcation
- Chaos-based Image/Signal Encryption
- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
- Advanced Memory and Neural Computing
- Fractal and DNA sequence analysis
- Neural Networks and Applications
- Quantum chaos and dynamical systems
- Neural dynamics and brain function
- Cellular Automata and Applications
- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Mathematical Dynamics and Fractals
- Traditional Chinese Medicine Studies
- Advanced Malware Detection Techniques
- Embedded Systems Design Techniques
- Embedded Systems and FPGA Applications
- Remote Sensing and Land Use
- Embedded Systems and FPGA Design
- Opinion Dynamics and Social Influence
- Network Security and Intrusion Detection
- Anomaly Detection Techniques and Applications
- Biometric Identification and Security
- Environmental and Agricultural Sciences
Northwest Normal University
2021-2024
Institute of Software
2023
Abstract A four-dimensional autonomous hyperchaotic system is constructed, and the basic characteristics of are studied by power spectrum, Poincaré maps, 0–1 test Lyapunov exponents. The has rich dynamical behaviors, such as bursting oscillations, offset boosting, transient chaos, intermittent chaos coexistence attractors. In addition, studying coexisting phenomenon spectral entropy (SE) complexity different initial values, an value that more suitable for chaotic secure communication...
Abstract The definition of fractional calculus is introduced into the 5D chaotic system, and fractional-order system obtained. new has no equilibrium, multi-scroll hidden attractor multi-stability. By analyzing time-domain waveform, phase diagram, bifurcation diagram complexity, it found that equilibrium but very sensitive to parameters initial values. With variation different parameters, can produce attractors scroll types accompanied by bursting oscillation. Secondly, multi-stability...
Abstract In this paper, a cellular neural network (CNN) chaotic system is constructed and the multiple stability of its rich properties are confirmed by studying effect parameters on system, coexisting attractors, offset boosting behavior. As linear feedback shift registers (LFSR) can be applied to cryptography, paper applies LFSR generate encrypted key matrices enhance randomness encryption algorithms. Based CNN LFSR, new color image algorithm designed combining DNA coding bit-plane...
Abstract By improving the Bao system, a new 3D autonomous chaotic system is obtained. This paper nalyses phase diagram, bifurcation Lyapunov exponents, and complexity of revealing its rich dynamical behaviours. The exhibits extreme sensiti vity to both parameters initial conditions. Specifically, phenomena transient chaos, intermittent coexisting attractor are discussed. Furthermore, verify practical feasibility an analogue simulation circuit designed, digital circui t implemented using...
By introducing a sine function, non-autonomous multi-wing chaotic system is proposed. The has an infinite number of equilibrium points and produces symmetrical attractors. complex dynamical behaviors the are demonstrated by phase portraits, Lyapunov exponents spectrum bifurcation diagram. effect driving amplitudes initial conditions on resulting dynamics then thoroughly investigated. attractors will enter different oscillatory states or have topological changes. rotational coexisting depend...
An autonomous memristive circuit is implemented by an active third-order generalized memristor. The mathematical model established and the stability of equilibrium point divergence are analyzed. Lyapunov exponents bifurcation analysis demonstrate complex dynamical behaviors system. As internal parameter voltage controlled memristor changed, system changes from bursting chaos to general chaos, which includes chaotic attractor periodic attractor. This produces similar clusters discharge...
Abstract Since memristors can be used to describe electromagnetic induction effects, this paper proposes a novel 4D HindMarsh-Rose (HR) neuron model based on two flux-controlled show complex dynamics of neuronal electrical activity. It has no equilibrium point, revealing hidden dynamical behaviors. The the system are illustrated by phase portraits, time sequences, bifurcation diagrams, and Lyapunov exponents spectra. presented HR produce coexisting multiple firing patterns, for instance,...
Abstract In this paper, a novel four-dimensional memristive chaotic system is constructed by incorporating memristor model into three-dimensional system. Through the analysis of Lyapunov exponent, bifurcation diagram, and Poincaré cross-section system, it has been observed that capable exhibiting stable state, as well complex dynamic behaviors, such attractor coexistence, transient chaos, offset boosting. To validate actual existence real circuit built based on Multisim simulation, numerical...
A new chaotic system is obtained by modifying the Sprott-C system. Then phase diagrams, power spectra, 0–1 tests, Poincaré maps, Lyapunov exponential time sequences, and complexity are studied. Research indicates that sensitive to parameters initial conditions, bursting oscillation, transient chaos multistability investigated. The of calculated using Sample Entropy (SE) algorithm, including selecting more suitable values for application. In addition, circuit designed Multisim actual digital...
Abstract In this study, a voltage-controlled memristor was designed and connected in parallel with an inductor-capacitor to form oscillator circuit. The memristor, as natural electronic equivalent for building biological neurons, enabled circuit simulate the four types of firing patterns generated by neurons. By means two-parameter scan, dynamic map discharges created, allowing more efficient analysis field, results were compared potassium-sodium ion model neuron. stability equilibrium point...