Identifiability of State Space Models von E. Walter | with applications to transformation systems | ISBN 9783540115908

Identifiability of State Space Models

with applications to transformation systems

von E. Walter
Buchcover Identifiability of State Space Models | E. Walter | EAN 9783540115908 | ISBN 3-540-11590-0 | ISBN 978-3-540-11590-8

Identifiability of State Space Models

with applications to transformation systems

von E. Walter

Inhaltsverzeichnis

  • 1. Transformation Systems.
  • 1.1 Introduction.
  • 1.2 Formalism.
  • 1.3 An example: nonlinear chemical kinetics.
  • 1.4 Specific problems of transformation system modelling.
  • 1.5 Conclusion.
  • 2. Structural Properties and Main Approaches to Checking Them.
  • 2.1 Introduction.
  • 2.2 Definitions.
  • 2.3 Practical methods for checking structural observability and structural controllability of linear models.
  • 2.4 Main approaches to structural identifiability.
  • 2.5 Conclusion.
  • 3. Local Identifiability.
  • 3.1 Introduction.
  • 3.2 Methods.
  • 3.3 Linear models.
  • 3.4 Computer aided design of models.
  • 3.5 Implementation for linear transformation systems.
  • 3.6 Conclusion.
  • 4. Global Identifiability of Linear Models.
  • 4.1 Introduction.
  • 4.2 Properties of the transition matrix.
  • 4.3 Parametrization of the transition matrix.
  • 4.4 Application to checking s. g. identifiability.
  • 4.5 Conclusion.
  • 5. Exhaustive Modelling for Linear Models.
  • 5.1 Introduction.
  • 5.2 Class of the studied models.
  • 5.3 The matrices B and C are known.
  • 5.4 The matrices B and C are partially unknown.
  • 5.5 Connections with Kalman’s canonical form.
  • 5.6 Applications of exhaustive modelling.
  • 5.7 Conclusion.
  • 6. Examples.
  • 6.1 Introduction.
  • 6.2 Chemotherapeutic model.
  • 6.3 Hepatobiliary kinetics of B. S. P..
  • 6.4 Metabolism of iodine.
  • 6.5 Systemic distribution of Vincamine.
  • 6.6 Conclusion.
  • 7. Global Identifiability of Nonlinear Models.
  • 7.1 Introduction.
  • 7.2 Series expansion approach.
  • 7.3 Linearization approach.
  • 7.4 Conclusion.
  • Conclusion.
  • References.