Guaranteed nonlinear parameter estimation in knowledge-based models
DOI10.1016/j.cam.2005.07.039zbMath1108.65079OpenAlexW2100645164MaRDI QIDQ861885
Publication date: 2 February 2007
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2005.07.039
estimationparameter estimationnonlinear systemsnumerical examplesinterval analysiscooperativityknowledge-based modelsparameter bounding
Nonlinear ordinary differential equations and systems (34A34) General methods in interval analysis (65G40) Numerical methods for initial value problems involving ordinary differential equations (65L05) Inverse problems involving ordinary differential equations (34A55) Numerical solution of inverse problems involving ordinary differential equations (65L09)
Related Items (3)
Cites Work
- Identification of parametric models from experimental data. Transl. from an upd. French version by the authors, with the help of John Norton
- Set inversion via interval analysis for nonlinear bounded-error estimation
- Verified integration of ODEs and flows using differential algebraic methods on high-order Taylor models
- Guaranteed non-linear estimation using constraint propagation on sets
- Bounding the Solution of Interval Linear Equations
- Guaranteed recursive non-linear state bounding using interval analysis
- Rapprochement between bounded‐error and stochastic estimation theory
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