Identification of Nonlinear Physiological Systems [Hardcover]

Significant advances have been made in the field since the previous classic texts were written. This text brings the available knowledge up to date.
* Enables the reader to use a wide variety of nonlinear system identification techniques.
* Offers a thorough treatment of the underlying theory.
* Provides a MATLAB toolbox containing implementation of the latest identification methods together with an extensive set of problems using realistic data sets.Preface.

1. Introduction.

1.1 Signals.

1.2 Systems and Models.

1.3 System Modeling.

1.4 System Identification.

1.5 How Common are Nonlinear Systems?

2. Background.

2.1 Vectors and Matrices.

2.2 Gaussian Random Variables.

2.3 Correlation Functions.

2.4 Mean-Square Parameter Estimation.

2.5 Polynomials.

2.6 Notes and References.

2.7 Problems.

2.8 Computer Exercises.

3. Models of Linear Systems.

3.1 Linear Systems.

3.2 Nonparametric Models.

3.3 Parametric Models.

3.4 State-Space Models.

3.5 Notes and References.

3.6 Theoretical Problems.

3.7 Computer Exercises.

4. Models of Nonlinear Systems.

4.1 The Volterra Series.

4.2 The Wiener Series.

4.3 Simple Block Structures.

4.4 Parallel Cascades.

4.5 The Wiener-Bose Model.

4.6 Notes and References.

4.7 Theoretical Problems.

4.8 Computer Exercises.

5. Identification of Linear Systems.

5.1 Introduction.