An Introduction to Identification
This book gives a global picture of the current state of identification, from the reasons for mathematical modelling, through the theoretical underpinning, to details of a wide range of well-tried identification algorithms and their application. The limitations of present techniques and the practical constraints on their use are explored and illustrated by numerical examples. Introductions to areas of current research are included in a chapter on specialised topics.
- Hardback | 310 pages
- 160 x 236.5 x 24.9mm | 622.06g
- 01 Aug 1986
- Elsevier Science Publishing Co Inc
- Academic Press Inc
- San Diego, United States
Table of contents
Introduction. Classical Methods of Identification: Impulse, Step and Sine-Wave Testing. Identification based on Correlation Functions. Least-Squares Model Fitting. Statistical Properties of Estimators. Optimal Estimation, Bayes and Maximum-Likelihood Estimators. Computational Algorithms for Identification. Specialised Topics in Identification. Experiment Design and Choice of Model Structure. Model Validation. Each chapter includes references. Index.