A preprocessing method for parameter estimation in ordinary differential equations
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Publication:508166
DOI10.1016/j.chaos.2013.08.015zbMath1355.65100OpenAlexW2084224224MaRDI QIDQ508166
Publication date: 10 February 2017
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.chaos.2013.08.015
parameter estimationnonlinear differential equationLorenz attractornonlinear parameter fit algorithm
Attractors of solutions to ordinary differential equations (34D45) Numerical solution of inverse problems involving ordinary differential equations (65L09) Probabilistic methods, stochastic differential equations (65C99)
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Cites Work
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- Nonlinear filtering and optimal phase tracking
- Nonlinear filters for chaotic oscillatory systems
- Iterative regularization methods for nonlinear ill-posed problems
- Extracting knowledge from time series. An introduction to nonlinear empirical modeling
- Advanced synergetics. Instability hierarchies of self-organizing systems and devices
- Regular and chaotic dynamics.
- Parameter estimation for chaotic systems by particle swarm optimization
- Identification of chaotic systems with hidden variables (modified Bock's algorithm)
- Newton Methods for Nonlinear Problems
- Some Newton-type methods for the regularization of nonlinear ill-posed problems
- Deterministic Nonperiodic Flow
- Parameter Estimation for Differential Equations: a Generalized Smoothing Approach
- Parameter Estimation for Differential Equation Models Using a Framework of Measurement Error in Regression Models
- Geometric Numerical Integration
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