Description:
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.
Review Quotes: "Researchers will find this useful and rewarding." (Journal of Statistical Computation and Simulation, September 2005)
"...a brief summary of the underlying mathematical theory and techniques used to identify, characterize, and elucidate linear and nonlinear physiological models." (Computing Reviews.com, April 29, 2004)
"...a welcome reference for anyone involved in the study of nonlinear dynamic behavioral patterns of biomedical systems." (IEEE Engineering in Medicine and Biology, January/February 2004)
"This book is excellent because it discusses in detail nearly all the useful techniques currently in use, and reveals their relative strengths and weaknesses." (Annals of Biomedical Engineering, June 2004)