Hai Zhang

ORCID: 0000-0002-7183-9570
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About
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Research Areas
  • Neural Networks Stability and Synchronization
  • Fossil Insects in Amber
  • Plant and animal studies
  • Neural Networks and Applications
  • stochastic dynamics and bifurcation
  • Nonlinear Dynamics and Pattern Formation
  • Hymenoptera taxonomy and phylogeny
  • Fractional Differential Equations Solutions
  • Insect and Arachnid Ecology and Behavior
  • Advanced Memory and Neural Computing
  • Coleoptera Taxonomy and Distribution
  • Numerical methods in inverse problems
  • Nonlinear Differential Equations Analysis
  • Chaos control and synchronization
  • Advanced Mathematical Modeling in Engineering
  • Advanced Differential Equations and Dynamical Systems
  • Metaheuristic Optimization Algorithms Research
  • Scarabaeidae Beetle Taxonomy and Biogeography
  • Internet Traffic Analysis and Secure E-voting
  • Paleontology and Evolutionary Biology
  • Differential Equations and Numerical Methods
  • Network Security and Intrusion Detection
  • Advanced Multi-Objective Optimization Algorithms
  • Spectral Theory in Mathematical Physics
  • Model Reduction and Neural Networks

Anqing Normal University
2013-2025

Shanghai Key Laboratory of Trustworthy Computing
2024

East China Normal University
2024

East China University of Technology
2024

Shenzhen Technology University
2024

Shanghai University of Sport
2024

IM Systems (United States)
2023

National Oceanic and Atmospheric Administration
2023

Harbin Institute of Technology
2023

North China University of Water Resources and Electric Power
2023

Power generation from wind farms is growing rapidly around the world. In past decade, energy has played an important role in contributing to sustainable development. However, turbines are extremely susceptible component damage under complex environments and over long-term operational cycles, which directly affects their maintenance, reliability, operating costs. It crucial realize efficient early warning of turbine failure avoid equipment breakdown, prolong service life turbines, maximize...

10.3390/su15108333 article EN Sustainability 2023-05-20

Abstract Our knowledge of Cretaceous plumage is limited by the fossil record itself: compression fossils surrounding skeletons lack finest morphological details and seldom preserve visible traces colour, while discoveries in amber have been disassociated from their source animals. Here we report osteology, pterylosis two exceptionally preserved theropod wings Burmese amber, with vestiges soft tissues. The extremely small size osteological development wings, combined digit proportions,...

10.1038/ncomms12089 article EN cc-by Nature Communications 2016-06-28

A new genus and species of the lacewing family Psychopsidae, Electropsychops handlirschi gen. et sp. nov., is described based on a well preserved male specimen from mid-Cretaceous amber Myanmar. The possesses number diagnostic characters i.e., lack forewing median nygma, presence vena triplica, straight barely forked RA. However, it also exhibits some remarkable that are present in Osmylopsychopidae, such as distally narrowed costal space sigmoid MA stem hind wing. relationship between...

10.11646/zootaxa.4291.2.9 article EN Zootaxa 2017-07-12

This paper is concerned with the asymptotic stability of Riemann–Liouville fractional-order neural networks discrete and distributed delays. By constructing a suitable Lyapunov functional, two sufficient conditions are derived to ensure that addressed network asymptotically stable. The presented criteria described in terms linear matrix inequalities. advantage proposed method one may avoid calculating derivative functional. Finally, numerical example given show validity feasibility...

10.1080/00207721.2017.1412534 article EN International Journal of Systems Science 2017-12-08

Abstract This paper is concerned with the globally asymptotic stability of Riemann‐Liouville fractional‐order neural networks time‐varying delays. The Lyapunov functional approach to analysis for nonlinear differential equations discussed. By constructing an appropriate associated fractional integral and derivative, criteria delays constant are derived. advantage our proposed method that one may directly calculate first‐order derivative functional. Two numerical examples also presented...

10.1002/asjc.1675 article EN Asian Journal of Control 2017-11-27

ABSTRACT This article aims to study the finite‐time synchronization (FTS) problem of a class bidirectional associative memory neural networks (BAMNNs) with time delays. Initially, leveraging properties fractional calculus and common inequality techniques, novel FTS lemma is rigorously derived, which extends many existing lemmas. Subsequently, an event‐triggered control (ETC) mechanism devised, aid newly established lemma, sufficient conditions for achieving in BAMNNs are formulated....

10.1002/mma.10804 article EN Mathematical Methods in the Applied Sciences 2025-02-11

The paper investigates the sensitivity of inverse problem recovering velocity field in a bounded domain from boundary dynamic Dirichlet-to-Neumann map (DDtN) for wave equation. Three main results are obtained: (1) assuming that two fields non-trapping and equal to constant near boundary, it is shown induced scattering relations must be identical if their corresponding DDtN maps sufficiently close; (2) geodesic X-ray transform operator with matrix-valued weight introduced by linearizing which...

10.1090/s0894-0347-2014-00787-6 article EN publisher-specific-oa Journal of the American Mathematical Society 2014-03-05
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