This two-volume handbook presents a comprehensive
overview of nonlinear dynamic system identification. The books include
many aspects of nonlinear processes: modelling, parameter estimation, structure
search, nonlinearity and model validity tests. The book includes not only
nonparametric models but also parametric models which include a limited
number of parameters. Time domain parameter estimation is dealt with in
detail; frequency domain and power spectrum procedures are also included.
Audience: This work is intended for postgraduate students, researchers
and engineers whose work involves nonlinear systems. Many examples, case
studies and experimental identifications of real processes have been included.
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Contents:
Preface.
Volume 1: Nonlinear System Parameter Estimation.
Preface. Glossary. 1. Nonlinear Dynamic Process Models. 2. Test Signals for
Identification. 3. Parameter Estimation Methods.
Volume 2: Nonlinear System Structure Identification.
4. Nonlinearity Test Methods. 5. Structure Identification. 6. Model Validity Tests.
7. Case Studies on Identification of Real Processes. Author Index. Subject Index.
