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eBook - ePub
Applied Parameter Estimation for Chemical Engineers
About this book
This book determines adjustable parameters in mathematical models that describe steady state or dynamic systems, presenting the most important optimization methods used for parameter estimation. It focuses on the Gauss-Newton method and its modifications for systems and processes represented by algebraic or differential equation models.
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Yes, you can access Applied Parameter Estimation for Chemical Engineers by Peter Englezos,Nicolas Kalogerakis in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Industrial & Technical Chemistry. We have over one million books available in our catalogue for you to explore.
Information
Topic
Physical SciencesSubtopic
Industrial & Technical ChemistryTable of contents
- Cover Page
- Halftitle Page
- CHEMICAL INDUSTRIES
- Title Page
- Copyright Page
- Dedication Page
- Preface
- Contents
- 1: Introduction
- 2: Formulation of the Parameter Estimation Problem
- 3: Computation of Parameters in Linear Models - Linear Regression
- 4: Gauss-Newton Method for Algebraic Models
- 5: Other Nonlinear Regression Methods for Algebraic Models
- 6: Gauss-Newton Method for Ordinary Differential Equation (ODE) Models
- 7: Shortcut Estimation Methods for Ordinary Differential Equation (ODE) Models
- 8: Practical Guidelines for Algorithm Implementation
- 9: Constrained Parameter Estimation
- 10: Gauss-Newton Method for Partial Differential Equation (PDE) Models
- 11: Statistical Inferences
- 12: Design of Experiments
- 13: Recursive Parameter Estimation
- 14: Parameter Estimation in Nonlinear Thermodynamic Models: Cubic Equations of State
- 15: Parameter Estimation in Nonlinear Thermodynamic Models: Activity Coefficients
- 16: Parameter Estimation in Chemical Engineering Kinetic Models
- 17: Parameter Estimation in Biochemical Engineering Models
- 18: Parameter Estimation in Petroleum Engineering
- References
- Appendix 1
- Appendix 2
- INDEX