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[资源] Applied Parameter Estimation for Chemical Engineers

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Applied Parameter Estimation for Chemical Engineers (Chemical Industries Series #81)

by Peter Englezos, Nicolas Kalogerakis


ISBN: 082479561X

ISBN-13: 9780824795610

Pages Hardcover, 434pp

Publisher: CRC Press

Series: Chemical Industries Series, #81

From The Critics Leo A. Behie fills an enormous gap in chemical engineering and engineering in general....puts everything into proper perspective in a very organized way. The presentation is superb....the authors have used outstanding examples throughout the text in chemical reactor design, thermodynamics, biochemical engineering, and even petroleum reservoir simulation. This is one terrific book!

Booknews Provides students and practicing engineers with tools that can be used for the solution of parameter estimation problems. The emphasis is on chemical engineering applications and on systems described by nonlinear algebraic and ordinary differential equations. The Gauss- Newton method is featured, but shortcut methods are also presented. Englezos (University of British Columbia) and Kalogerakis (Technical University of Crete) describe how to formulate and solve parameter estimation problems, compute the statistical properties of the parameters, perform model adequacy tests, and design experiments for parameter estimation or model discrimination. The CD-ROM contains Fortran programs for solving estimation problems. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Table of Contents

Preface

1 Introduction 1

2 Formulation of the Parameter Estimation Problem 7

3 Computation of Parameters in Linear Models - Linear Regression 23

4 Gauss-Newton Method for Algebraic Models 49

5 Other Nonlinear Regression Methods for Algebraic Models 67

6 Gauss-Newton Method for Ordinary Differential Equation (ODE) Models 84

7 Shortcut Estimation Methods for ODE Models 115

8 Practical Guidelines for Algorithm Implementation 133

9 Constrained Parameter Estimation 158

10 Gauss-Newton Method for Partial Differential Equation (PDE) Models 167

11 Statistical Inferences 177

12 Design of Experiments 185

13 Recursive Parameter Estimation 218

14 Parameter Estimation in Nonlinear Thermodynamic Models: Cubic Equations of State 226

15 Parameter Estimation in Nonlinear Thermodynamic Models: Activity Coefficients 268

16 Parameter Estimation in Chemical Reaction Kinetic Models 285

17 Parameter Estimation in Biochemical Engineering Models 322

18 Parameter Estimation in Petroleum Engineering 353

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