A5042006886- Chaos control and synchronization
- stochastic dynamics and bifurcation
- Nonlinear Dynamics and Pattern Formation
- Probabilistic and Robust Engineering Design
- Fractional Differential Equations Solutions
- Fuzzy Systems and Optimization
- Magnetic Bearings and Levitation Dynamics
- Quantum chaos and dynamical systems
- Model Reduction and Neural Networks
- Control Systems and Identification
- Tribology and Lubrication Engineering
- Neural dynamics and brain function
- Advanced Differential Equations and Dynamical Systems
- Mathematical Dynamics and Fractals
- Ecosystem dynamics and resilience
- Mathematical and Theoretical Epidemiology and Ecology Models
- Neural Networks Stability and Synchronization
- Bladed Disk Vibration Dynamics
- Complex Systems and Time Series Analysis
- Brake Systems and Friction Analysis
- Chaos-based Image/Signal Encryption
- Fuzzy Logic and Control Systems
- Fault Detection and Control Systems
- Advanced Numerical Analysis Techniques
- Vibration and Dynamic Analysis
Foshan University
2025
East China University of Science and Technology
2025
Xi'an Jiaotong University
2015-2024
Central South University
2024
Robert Morris University
2017
Tianshui Normal University
2016
University of Delaware
2004-2006
Tsinghua University
2003
Risun (China)
2000-2001
Abstract Spin–orbit coupling (SOC) in tightly focused optical fields offers a powerful mechanism for manipulating the complex motion of particles. However, to date, such has only been applied single-orbit particles, while multi-orbital dynamics have not yet experimentally demonstrated. Here, theoretical and experimental realization dual-orbit rotational nanoparticles circularly polarized Laguerre-Gaussian beam is reported. Analyses reveal that rotation originates from SOC vortex beam, with...
In this paper a new image encryption scheme is proposed, by which the pixel values are bit-level shuffled sequences generated complex network, while positions of diffused images scrambled chaotic time-delayed neural network. way key space greatly enlarged through simultaneous use network and with high dimensional multistable hyperchaotic system as nodal model. particular, different nodes in selected to generate decryption sequences. To achieve synchronization accuracy necessarily for correct...
A cross-band information converter, which links communication and storage modules operating at different wavelengths, is crucial for the development of optical vortex-based networks. However, due to nonlinear efficiency dependence on orbital angular momentum (OAM), traditional intensity or polarization distribution-based recognition distortion emerges. Here, by employing vector vortex with a tailored mode as carrier network, topology one-to-one mapping identification method, we demonstrate...
Differential interference contrast (DIC) imaging is essential in both biological research and medical diagnostics. Despite considerable progress theoretical experimental frameworks, limited by the inefficient cameras, achieving direct DIC with infrared (IR) illumination remains a formidable challenge. However, urgent for diverse fields. Here, we creatively leverage walk-off effect, limitation nonlinear optics, to solve this obstacle present imaging. The critical component of our scheme beam...
Abstract Agrochemicals play a pivotal role in the management of pests and diseases way agrochemicals are utilized exerts significant impacts on environment. Ensuring rational application improving utilization rates major demands developing green delivery systems. Herein, model n ucleic acid‐ p eptide c oacervate (NPC) for agrochemical is presented, which formed by mixing negatively charged single‐stranded DNAs with positively poly‐L‐lysine. The NPC microsystem exhibits broad loading...
Abstract The first-passage time probability plays an important role in the reliability assessment of dynamic systems random vibrations. To find solution is a challenging task. analytical to this problem not available even for linear systems. For nonlinear and multi-degree-of-freedom systems, it more challenging. This paper proposes radial basis function neural networks method solving linear, nonlinear, In paper, proposed applied solve backward Kolmogorov equation subject boundary conditions...
Abstract Random vibrations occur in many engineering systems including buildings subject to earthquake excitation, vehicles traveling on a rough road and off-shore platform random waves. Analysis of for linear has been well studied. For nonlinear systems, particularly multi-degree-of-freedom however, there are still challenges analyzing the probability distribution transient responses system. Monte Carlo simulation was considered only viable method this task. In paper, We propose construct...
Global bifurcations include sudden changes in chaotic sets due to crises. There are three types of crises defined by Grebogi et al. [Physica D 7, 181 (1983)]: boundary crisis, interior and metamorphosis. In this paper, means the extended generalized cell mapping (EGCM), a fractional-order Duffing system studied as one parameters or fractional derivative order is varied. It found that crisis can be generally collision between basic set set, either periodic chaotic, cause discontinuous change...
Abstract This paper presents a novel method for analyzing high-dimensional nonlinear stochastic dynamic systems. In particular, we attempt to obtain the solution of Fokker–Planck–Kolmogorov (FPK) equation governing response probability density system without using FPK directly. The consists several important components including radial basis function neural networks (RBFNN), Feynman–Kac formula and short-time Gaussian property process. area solving partial differential equations (PDEs)...
In this paper, an idea of evolving probabilistic vector (EPV) is introduced into the Generalized Cell Mapping (GCM) method to replace classical fix-sized in order efficiently capture transient behaviors noise-induced bifurcations, by which initial localized probability distribution around a deterministic attracting set nonlinear dynamical system may expand abruptly or escape with jump as noise intensity increases and exceeds some critical values. A Mathieu–Duffing oscillator under excitation...
In this paper, an iterative selection strategy of Gaussian neurons for radial basis function neural networks (RBFNN) is proposed when the RBFNN method applied to obtain steady-state solution Fokker–Planck–Kolmogorov (FPK) equation. A performance index introduced rank neurons. Top are selected, leading a with optimal number and locations FPK equation under consideration. The statistical properties studied. It found that assigned jth neuron proportional probability system falling into small...