Parameter estimation of ordinary differential equations

By Zhengfeng Li, Michael R. Osborne, T. Prvan. 2005

96 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/42e85533ab377cd7b867bd04b2cbaff46e0e5865

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Hua Liang
2. Tao Lu
3. Hulin Wu
4. Hongqi Xue
5. Xinyu Zhang

In Mechanical Engineering

1. Hulin Wu

Citations in the corpus

• Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling (2014, methodology): “…several classes of parameter estimation meth-ods for ODE models, which include the nonlinear least-square (NLS) method (Hemker 1972; Bard 1974; Li, Osborne, and Pravan 2005; Xue, Miao, and Wu 2010), the two-stage smoothing-based estimation method (Varah 1982; Brunel 2008; Chen and Wu 2008a,b;…”
• Parameter estimation of ODE’s via nonparametric estimators (2007, unknown): “In principle, this may be done by some classical parametric estimators, usually the least squares estimator [13] or the Maximum Likelihood estimator (MLE).”