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Optimal design of dynamic experiments for improved estimation of kinetic parameters of thermal degradation
3 references·1 citing·13 second hop
Optimal design of dynamic experiments for improved estimation of kinetic parameters of thermal degradation (2007)Optimal design of dynamic experiments for…Computation of Optimal Identification Experiments for Nonlinear Dynamic Process Models: a Stochastic Global Optimization Approach (2002)Computation of Optimal Identi…Introducing optimal experimental design in predictive modeling: A motivating example (1999)Introducing optimal experimen…Estimating the parameters of the Baranyi model for bacterial growth (1999)Estimating the parameters of …Pyomo.DOE : An open‐source package for model‐based design of experiments in Python (2022)Pyomo.DOE : An open‐source pa…Practical Identification of Unstructured Growth Kinetics by Application of Optimal Experimental Design (1997)Optimal experiment design for cardinal values estimation: guidelines for data collection (2005)COMPUTING OPTIMAL DYNAMIC EXPERIMENTS FOR MODEL CALIBRATION IN PREDICTIVE MICROBIOLOGY (2008)A practical guide for optimal designs of experiments in the Monod model (2009)Optimal Experimental Design for Parameter Estimation in Unstructured Growth Models (1994)Experimental Design Tools for Ordinary and Algebraic Differential Equations (2007)Model‐based design of experiments for cellular processes (2013)Quantitative Risk Analysis: A Guide to Monte Carlo Simulation Modelling (1996)Novel anticorrelation criteria for model‐based experiment design: Theory and formulations (2008)On the Experimental Attainment of Optimum Conditions (1992)Response surface methodology: Process and product optimization using designed experiments (1997)Response surface methodology (2010)Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization (2023)
this work references cited by second hop

References

  • 1999Estimating the parameters of the Baranyi model for bacterial growth76 cited
  • 2002Computation of Optimal Identification Experiments for Nonlinear Dynamic Process Models: a Stochastic Global Optimization Approach69 cited
  • 1999Introducing optimal experimental design in predictive modeling: A motivating example68 cited

Cited by

  • 2022Pyomo.DOE : An open‐source package for model‐based design of experiments in Python43 cited

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