Identifiability of Parametric Models
eBook - PDF

Identifiability of Parametric Models

  1. 132 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Identifiability of Parametric Models

About this book

Identifiability of Parametric Models provides a comprehensive presentation of identifiability. This book is divided into 11 chapters. Chapter 1 reviews the basic methods for structural identifiability testing. The methods that deal with large-scale models and propose conjectures on global identifiability are considered in Chapter 2, while the problems of initial model selection and generating the set of models that have the exact same input-output behavior are evaluated in Chapter 3. Chapters 4 and 5 cover nonlinear models. The relations between identifiability and the well-posedness of the estimation problem are analyzed in Chapter 6, followed by a description of the algebraic manipulations required for testing a model for structural controllability, observability, identifiability, or distinguishability in chapter 7. The rest of the chapters are devoted to the relations between identifiability and parameter uncertainty. This publication is beneficial to students and researchers aiming to acquire knowledge of the identifiability of parametric models.

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Yes, you can access Identifiability of Parametric Models by E. Walter in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Mathematics General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Identifiability of Parametric Models
  3. Copyright Page
  4. Table of Contents
  5. FOREWORD
  6. Part 1: Tutorial
  7. Part 2: Linear Models
  8. Part 3: Nonlinear and Time-Varying Models
  9. Part 5: Infinite-Dimensional Models
  10. Part 6: Computer Algebra
  11. Part 7: Identifiability and Parameter Uncertainty
  12. Author Index
  13. Subject Index