Xinzhi Liu

ORCID: 0000-0003-3572-2807
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About
Contact & Profiles
Research Areas
  • Neural Networks Stability and Synchronization
  • Stability and Control of Uncertain Systems
  • Stability and Controllability of Differential Equations
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Nonlinear Dynamics and Pattern Formation
  • Nonlinear Differential Equations Analysis
  • Chaos control and synchronization
  • Distributed Control Multi-Agent Systems
  • stochastic dynamics and bifurcation
  • Differential Equations and Numerical Methods
  • Adaptive Control of Nonlinear Systems
  • Advanced Differential Equations and Dynamical Systems
  • Quantum chaos and dynamical systems
  • Fractional Differential Equations Solutions
  • Neural Networks and Applications
  • Evolution and Genetic Dynamics
  • Numerical methods for differential equations
  • COVID-19 epidemiological studies
  • Thermochemical Biomass Conversion Processes
  • Control and Stability of Dynamical Systems
  • advanced mathematical theories
  • Colorectal Cancer Surgical Treatments
  • Matrix Theory and Algorithms
  • Control Systems and Identification
  • Differential Equations and Boundary Problems

University of Waterloo
2016-2025

Peking University
2018-2025

Peking University Cancer Hospital
2018-2025

Anhui University of Science and Technology
2024-2025

Nanjing University of Science and Technology
2012-2025

Southwest University
2009-2024

China Agricultural University
2024

Xinjiang Medical University
2018-2024

Hohai University
2023

Sichuan Agricultural University
2021-2023

This paper studies robust impulsive synchronization of uncertain dynamical networks. By utilizing the concept control and stability results for systems, several criteria local global are established complex networks, in which network coupling functions unknown but bounded. Three examples also worked through illustrating main results.

10.1109/tcsi.2005.851708 article EN IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications 2005-07-01

We consider a switching system composed of finite number linear delay differential equations (DDEs). It has been shown that the stability ordinary (ODEs) may be achieved by using common Lyapunov function method rule. modify this rule for ODE systems to functional DDE and show it stabilizes our model. Our result uses Riccati-type under condition on time delay.

10.1109/tcsi.2005.856666 article EN IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications 2006-02-01

10.1016/s0898-1221(00)00328-x article EN publisher-specific-oa Computers & Mathematics with Applications 2001-04-01

Due to the advantage of invariable length with temperatures, zero thermal expansion (ZTE) materials are intriguing but very rare especially for metals based compounds. Here, we report a ZTE in magnetic intermetallic compounds Tb(Co,Fe)2 over wide temperature range (123–307 K). A negligible coefficient (αl = 0.48 × 10–6 K–1) has been found Tb(Co1.9Fe0.1). exhibits ferrimagnetic structure, which moments Tb and Co/Fe antiparallel alignment along c axis. The property is formed due balance...

10.1021/jacs.7b12235 article EN Journal of the American Chemical Society 2018-01-02

This paper investigates the exponential synchronization of reaction-diffusion neural networks with time-varying delays subject to Dirichlet boundary conditions. A novel type pinning impulsive controllers is proposed synchronize delays. By applying Lyapunov functional method, sufficient verifiable conditions are constructed for delayed large and small delay sizes. It shown that can be realized by control a portion neurons network; technique used in this also applicable Neumann Numerical...

10.1109/tnnls.2016.2518479 article EN IEEE Transactions on Neural Networks and Learning Systems 2016-02-08

This paper studies the problem of synchronization for a class stochastic complex dynamical networks. It designs first time distributed impulsive protocol based on pinning control that involves constant signal transmission delay to tackle issues such Novel criteria network are established by employing time-dependent Lyapunov functional and mathematical induction approach, where information state variables themselves their neighbors is sufficiently utilized. Moreover, it shown frequency...

10.1109/tsmc.2018.2812895 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2018-04-27

Abstract Transforming molecular motions into the macroscopic scale is a topic of great interest to nanoscience. The photomechanical effect promising strategy achieve this goal. Herein, we report an intriguing luminescence driven by photodimerization 2‐phenylbenzo[b]thiophene 1,1‐dioxide (P‐BTO) in crystals and elucidate working mechanism substituent through crystallographic analysis theoretical calculations. Striking splitting, hopping, bending mechanical behaviors accompanied significant...

10.1002/anie.201913383 article EN Angewandte Chemie International Edition 2019-12-06

This paper studies input-to-state stability (ISS) of general nonlinear time-delay systems subject to delay-dependent impulse effects. Sufficient conditions for ISS are constructed by using the method Lyapunov functionals. It is shown that, when continuous dynamics but discrete governing impulses not, impulsive system as a whole provided destabilizing do not occur too frequently. On contrary, delayed must frequently enough overcome effects so that can be achieved system. Particularly, and...

10.1109/tac.2019.2930239 article EN IEEE Transactions on Automatic Control 2019-07-22

This article investigates the problem of exponential bipartite synchronization fractional-order multilayer signed networks via hybrid impulsive control. First, mathematical model is established by integrating fractional dynamics nodes, network edges, and positive negative weights (antagonistic relationship), which more pluralistic practical. Second, a controller designed, composed feedback control part to realize objective. Both effects are considered ranges gain related order Caputo...

10.1109/tcyb.2022.3190413 article EN IEEE Transactions on Cybernetics 2022-08-15

Abstract Background Metazoan adenosine-to-inosine (A-to-I) RNA editing resembles A-to-G mutation and increases proteomic diversity in a temporal-spatial manner, allowing organisms adapting to changeable environment. The editomes many major animal clades remain unexplored, hampering the understanding on evolution adaptation of this essential post-transcriptional modification. Methods We assembled chromosome-level genome Coridius chinensis belonging Hemiptera, fifth largest insect order where...

10.1007/s00018-024-05175-6 article EN cc-by Cellular and Molecular Life Sciences 2024-03-13
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