Parameter set selection for estimation of nonlinear dynamic systems
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- Type
- article
- Published
- 2007-11-01
- Cited by
- 78
- References
- 31
- OpenAlex
- https://openalex.org/W2069805373
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:122845208
Keywords
Parameter space, Estimation theory, Sensitivity (control systems), Nonlinear system, Selection (genetic algorithm)
References
- Linking data to models: data regression
- Foundations of Optimum Experimental Design
- Modeling Ethylene/Butene Copolymerization with Multi‐site Catalysts: Parameter Estimability and Experimental Design
- VODE: a variable-coefficient ODE solver
- A procedure for selecting best identifiable parameters in calibrating activated sludge model no. 1 to full-scale plant data
- Designing Experiments with Respect to ‘Standardized’ Optimality Criteria
- Survey of sampling-based methods for uncertainty and sensitivity analysis
- Bayesian Experimental Design: A Review
- Practical identifiability of ASM2d parameters--systematic selection and tuning of parameter subsets.
- Optimal measurement system design for chemical processes
- Optimum Experimental Designs
- Qualitative and quantitative experiment design for phenomenological models - A survey
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
- Modeling regulatory mechanisms in IL‐6 signal transduction in hepatocytes
- Maximin efficient designs for estimating nonlinear aspects in linear models
- Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptors
- Principles of interleukin (IL)-6-type cytokine signalling and its regulation.
- Using Krylov Methods in the Solution of Large-Scale Differential-Algebraic Systems
- Sequential Experimental Design Strategy for Rapid Kinetic Modeling of Chemical Synthesis
- Model identification of signal transduction networks from data using a state regulator problem.
Cited by
- Bayesian estimation of parametric uncertainties, quantification and reduction using optimal design of experiments for CO2 adsorption on amine sorbents
- Selecting parameters to estimate to obtain the best model predictions
- Parameter Estimation in a Simplified MWD Model for HDPE Produced by a Ziegler‐Natta Catalyst
- Advances and selected recent developments in state and parameter estimation
- Identification of parameter correlations for parameter estimation in dynamic biological models
- Parameter Set Selection via Clustering of Parameters into Pairwise Indistinguishable Groups of Parameters
- Nonlinear ill-posed problem analysis in model-based parameter estimation and experimental design
- Parameter Set Selection for Signal Transduction Pathway Models Including Uncertainties
- Improving prediction capabilities of complex dynamic models via parameter selection and estimation
- Selection of optimal parameter set using estimability analysis and MSE-based model-selection criterion
- Simultaneous Parameters Identifiability and Estimation of an E. coli Metabolic Network Model
- Modeling and optimization of a seeded suspension polymerization process
- Constrained receding‐horizon experiment design and parameter estimation in the presence of poor initial conditions
- Selection of Parameter Subsets and Design of Experiments for Estimation of Nonlinear Dynamic Systems
- RTO: An overview and assessment of current practice
- Parameter set selection for dynamic systems under uncertainty via dynamic optimization and hierarchical clustering
- Clustering reveals limits of parameter identifiability in multi-parameter models of biochemical dynamics
- Integrating parameter selection with experimental design under uncertainty for nonlinear dynamic systems
- An ensemble of models of the acute inflammatory response to bacterial lipopolysaccharide in rats: results from parameter space reduction.
- Modeling and Optimization of a Semi-Interpenetrating Polymer Network Process
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