Model Based Parameter Estimation

Theory and Applications

ISBN: 978-3-642-30366-1 (Print) 978-3-642-30367-8 (Online)

Table of contents (15 chapters)

  1. Front Matter

    Pages i-x

  2. Chapter

    Pages 1-30

    Parameter Estimation and Optimum Experimental Design for Differential Equation Models

  3. Chapter

    Pages 31-54

    Adaptive Finite Element Methods for Parameter Identification Problems

  4. Chapter

    Pages 55-87

    Gauss–Newton Methods for Robust Parameter Estimation

  5. Chapter

    Pages 89-124

    An Optimal Scanning Sensor Activation Policy for Parameter Estimation of Distributed Systems

  6. Chapter

    Pages 125-143

    Interaction Between Experiment, Modeling and Simulation of Spatial Aspects in the JAK2/STAT5 Signaling Pathway

  7. Chapter

    Pages 145-156

    The Importance and Challenges of Bayesian Parameter Learning in Systems Biology

  8. Chapter

    Pages 157-169

    Experiment Setups and Parameter Estimation in Fluorescence Recovery After Photobleaching Experiments: A Review of Current Practice

  9. Chapter

    Pages 171-190

    Drug Resistance in Infectious Diseases: Modeling, Parameter Estimation and Numerical Simulation

  10. Chapter

    Pages 191-206

    Mathematical Models of Hematopoietic Reconstitution After Stem Cell Transplantation

  11. Chapter

    Pages 207-226

    Combustion Chemistry and Parameter Estimation

  12. Chapter

    Pages 227-250

    Numerical Simulation of Catalytic Reactors by Molecular-Based Models

  13. Chapter

    Pages 251-266

    Model-Based Design of Experiments for Estimating Heat-Transport Parameters in Tubular Reactors

  14. Chapter

    Pages 267-285

    Parameter Estimation for a Reconstructed SOFC Mixed-Conducting LSCF-Cathode

  15. Chapter

    Pages 287-309

    An Application of Robust Parameter Estimation in Environmental Physics

  16. Chapter

    Pages 311-334

    Parameter Estimation in Image Processing and Computer Vision