Parameter identification of fractional order system using enhanced response sensitivity approach
DOI10.1016/J.CNSNS.2018.07.026OpenAlexW2883965111MaRDI QIDQ2206124
Guang Liu, Li Wang, W. L. Luo, Zhong-Rong Lu, Ji-Ke Liu
Publication date: 21 October 2020
Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cnsns.2018.07.026
parameter identificationfractional order systemcomputational schemeenhanced response sensitivity approach
Numerical solution of inverse problems involving ordinary differential equations (65L09) Fractional ordinary differential equations (34A08)
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Cites Work
- A hybrid artificial bee colony algorithm for parameter identification of uncertain fractional-order chaotic systems
- Non-standard extensions of gradient elasticity: fractional non-locality, memory and fractality
- Incremental response sensitivity approach for parameter identification of chaotic and hyperchaotic systems
- Operator-based approach for the construction of analytical soliton solutions to nonlinear fractional-order differential equations
- Iterative identification algorithm for Wiener nonlinear systems using the Newton method
- Finite element formulation of viscoelastic constitutive equations using fractional time derivatives
- Newton iterative identification for a class of output nonlinear systems with moving average noises
- Approximations of fractional integrals and Caputo fractional derivatives
- Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
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