Yao‐Lin Jiang

ORCID: 0000-0002-5541-1136
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Research Areas
  • Numerical methods for differential equations
  • Model Reduction and Neural Networks
  • Electromagnetic Simulation and Numerical Methods
  • Advanced Numerical Methods in Computational Mathematics
  • Differential Equations and Numerical Methods
  • Matrix Theory and Algorithms
  • Fractional Differential Equations Solutions
  • Probabilistic and Robust Engineering Design
  • Nonlinear Dynamics and Pattern Formation
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Real-time simulation and control systems
  • Numerical methods in engineering
  • Power System Optimization and Stability
  • Computational Fluid Dynamics and Aerodynamics
  • Electromagnetic Scattering and Analysis
  • Neural Networks Stability and Synchronization
  • Advanced Differential Equations and Dynamical Systems
  • Nonlinear Differential Equations Analysis
  • Nonlinear Waves and Solitons
  • Nonlinear Photonic Systems
  • Hydraulic and Pneumatic Systems
  • Advanced Mathematical Modeling in Engineering
  • Tensor decomposition and applications
  • Evolution and Genetic Dynamics
  • stochastic dynamics and bifurcation

Xi'an Jiaotong University
2016-2025

Xinjiang University
2015-2024

Yunnan Normal University
2022-2024

Beijing University of Posts and Telecommunications
2024

Xi'an Technological University
2023

John Wiley & Sons (United States)
2019

University of Vermont
2019

Brunel University of London
2019

Wherry & Sons (United Kingdom)
2019

Hudson Institute
2019

10.1016/j.camwa.2018.01.025 article EN publisher-specific-oa Computers & Mathematics with Applications 2018-02-12

10.1016/j.physa.2008.02.057 article EN Physica A Statistical Mechanics and its Applications 2008-02-26

For a class of large linear input-output systems, we present new model order reduction algorithm based on general orthogonal polynomials in the time domain. The main idea is first to expand unknown state variables space spanned by polynomials, then coefficient terms polynomial expansion are calculated recurrence formula. basic procedure use generate projection matrix. Many classic methods with special cases approach. proposed approach has good computational efficiency and preserves stability...

10.1109/tac.2011.2161839 article EN IEEE Transactions on Automatic Control 2011-07-20

The parareal algorithm, which permits us to solve evolution problems in a time parallel fashion, has created lot of attention over the past decade. algorithm its roots multiple shooting method for boundary value problems, is applied initial with particular coarse approximation Jacobian matrix. It therefore interest formulate parareal-type algorithms time-periodic also couple end interval beginning, and analyze their performance this context. We present two problems: one periodic problem...

10.1137/130909172 article EN SIAM Journal on Scientific Computing 2013-01-01

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10.2139/ssrn.5082359 preprint EN 2025-01-01

This paper focuses on the H 2 optimal model reduction problem of positive systems. According to coefficient matrices system, nonnegative orthonormal matrix is taken as projection matrix, and developed. Since nonnegative, reformulated a constrained optimization defined Stiefel manifold, further regarded oblique manifold. By augmented Lagrangian function, manifold tackled by employing Dai-Yuan-type conjugate gradient method solve series unconstrained subproblems. When objective function...

10.1177/01423312251319586 article EN Transactions of the Institute of Measurement and Control 2025-03-13

10.1016/j.cam.2012.08.018 article EN publisher-specific-oa Journal of Computational and Applied Mathematics 2012-09-03

10.1016/j.cnsns.2015.01.018 article EN Communications in Nonlinear Science and Numerical Simulation 2015-02-07

The objective of this paper is to study the dynamical properties a Holling-type II predator–prey system with constant rate harvesting. It shown that model has at most three equilibria in first quadrant and can exhibit numerous kinds bifurcation phenomena, including saddle-node bifurcation, degenerate Bogdanov–Takens codimension 3, supercritical subcritical Hopf generalized bifurcation. These results reveal far richer dynamics than no

10.1142/s021812740902427x article EN International Journal of Bifurcation and Chaos 2009-08-01

10.1016/j.jfranklin.2012.01.009 article EN Journal of the Franklin Institute 2012-01-30
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