Ming Liu

ORCID: 0000-0002-1861-1315
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Research Areas
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Nonlinear Dynamics and Pattern Formation
  • Neural Networks Stability and Synchronization
  • Evolution and Genetic Dynamics
  • stochastic dynamics and bifurcation
  • Mathematical Biology Tumor Growth
  • Nonlinear Differential Equations Analysis
  • Neural Networks and Applications
  • Chaos control and synchronization
  • Indoor Air Quality and Microbial Exposure
  • Advanced Memory and Neural Computing
  • Advanced Decision-Making Techniques
  • Industrial Technology and Control Systems
  • Metaheuristic Optimization Algorithms Research
  • Distributed Control Multi-Agent Systems
  • Polymer composites and self-healing
  • Guidance and Control Systems
  • Enzyme-mediated dye degradation
  • Memory and Neural Mechanisms
  • Advanced Algorithms and Applications
  • Artificial Immune Systems Applications
  • Leaf Properties and Growth Measurement
  • Lignin and Wood Chemistry
  • Tea Polyphenols and Effects
  • Polynomial and algebraic computation

Northeast Forestry University
2014-2025

Wuhan Textile University
2025

Qufu Normal University
2024

Air Force Communication NCO Academy
2021

Central China Normal University
2019

Ministry of Education of the People's Republic of China
2015

Sun Yat-sen University
2015

SYSU-CMU International Joint Research Institute
2015

Taiyuan University of Technology
2014

South China Institute Of Environmental Sciences
2012

In this paper, we consider the pth moment exponential synchronization (PMES) of fuzzy stochastic cellular neural networks (FSCNNs) with discrete and infinite delays. order to achieve pth-moment FSCNNs delays, design an appropriate feedback controller. Using Lyapunov function method theories delayed systems, obtain some sufficient conditions ensure system. Finally, verify effectiveness our results, provide a numerical simulation example. Our results extend from finite delays systems systems.

10.3390/axioms14020142 article EN cc-by Axioms 2025-02-19

Abstract Due to the combination of time delay and nonlocal reaction, which is more consistency with reality interaction, we propose investigate spatiotemporal dynamics delayed reaction–diffusion system effect. We first study stability bifurcations constant steady state induced by diffusion nonlocality. Meanwhile, show sufficient conditions that can lead occurrence Hopf bifurcations, Turing double Turing–Hopf bifurcations. Then discuss impact on bifurcation. By method a transcendental...

10.1186/s13662-025-03927-7 article EN cc-by Advances in Continuous and Discrete Models 2025-03-17

Very volatile organic compounds (VVOCs) are a group of important odor pollutants affecting indoor air quality that have been shown to be harmful human health. A 15 L environmental chamber, combined with multi-bed tube was used collect gases. Fifteen very (VVOCs), including 12 compounds, were identified from veneered medium density fiberboard coated water-based lacquer (WB-MDF) using gas chromatography-mass spectrometry/olfactometry (GC-MS/O). The total compound (TVVOC) and intensity (TOI)...

10.3390/molecules27113626 article EN cc-by Molecules 2022-06-05

10.1016/j.cnsns.2017.04.034 article EN Communications in Nonlinear Science and Numerical Simulation 2017-05-01

Biobased cationic waterborne polyurethanes (WPUs) were prepared using isophorone diisocyanate (IPDI), N-methyl diethanolamine (N-MDEA), polycaprolactone (PCL) diol, hydrochlotic acid (HCl), and 1,4-butanediol (BDO). To improve the mechanical performance adhesive strength of polyurethane films, different amounts castor oil (CO) acting as a cross-linking agent incorporated in structure. The structures assessed by Fourier-transform infrared spectroscopy (FTIR). combination CO had positive...

10.3390/app11114784 article EN cc-by Applied Sciences 2021-05-23

In this paper, the stochastic Takagi–Sugeno fuzzy recurrent neural networks (STSFRNNS) with distributed delay is established based on (TS) model and fixed time synchronization problem investigated. order to synchronize networks, we design two kinds of controllers: a feedback controller an adaptive controller. Then, obtain criteria in by combining Lyapunov method related inequality theory differential equation calculate stabilization for STSFRNNS. addition, verify authenticity theoretical...

10.3390/axioms13060391 article EN cc-by Axioms 2024-06-11

10.1016/j.jde.2020.06.025 article EN publisher-specific-oa Journal of Differential Equations 2020-06-16

In this paper, a diffusive predator–prey system with additional food and intra-specific competition among predators subject to Neumann boundary condition is investigated. For non-delay system, global stability, Turing instability Hopf bifurcation are studied. delay induced by time stability of equilibrium discussed. By the theory normal form center manifold method, conditions for determining direction bifurcating periodic solution derived.

10.1142/s1793524518500602 article EN International Journal of Biomathematics 2018-04-03

Recently, the synchronization of two chaotic systems is attracting more and attentions because its potential applications in communication security, aerospace industry many other fields. In this paper, by combining Zhang dynamics (ZD) gradient (GD), a novel effective controller-design method termed Zhang-gradient (ZG) firstly developed for chaos problem with multiple inputs (i.e., three or inputs). Via ZG method, traditional three-input can be successfully solved desirable convergence rate...

10.1109/chicc.2015.7259696 article EN 2015-07-01

Coverage is a broad research area in wireless sensor networks. In order to maximize network lifetime for target coverage, we study the coverage problem with multiple sensing ranges, which has been proved NP-complete. For CGH algorithm that introduces many redundant sensors each round, propose an Energy-efficient Centralized Greedy and Heuristic (ECGH), concept of "remote target", adopts scheme, where can cover target" are selected high priority. ECGH depends on global information, so...

10.1109/milcom.2010.5680125 article EN 2010-10-01
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