Trends and Progress in System Identification is popular PDF and ePub book, written by Pieter Eykhoff in 2014-05-20, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Trends and Progress in System Identification can be Read Online from any device for your convenience.
Trends and Progress in System Identification Book PDF Summary
Trends and Progress in System Identification is a three-part book that focuses on model considerations, identification methods, and experimental conditions involved in system identification. Organized into 10 chapters, this book begins with a discussion of model method in system identification, citing four examples differing on the nature of the models involved, the nature of the fields, and their goals. Subsequent chapters describe the most important aspects of model theory; the ""classical"" methods and time series estimation; application of least squares and related techniques for the estimation of dynamic system parameters; the maximum likelihood and error prediction methods; and the modern development of statistical methods. Non-parametric approaches, identification of nonlinear systems by piecewise approximation, and the minimax identification are then explained. Other chapters explore the Bayesian approach to system identification; choice of input signals; and choice and effect of different feedback configurations in system identification. This book will be useful for control engineers, system scientists, biologists, and members of other disciplines dealing withdynamical relations.
Detail Book of Trends and Progress in System Identification PDF
- Author : Pieter Eykhoff
- Release : 20 May 2014
- Publisher : Elsevier
- ISBN : 9781483148663
- Genre : Mathematics
- Total Page : 419 pages
- Language : English
- PDF File Size : 17,6 Mb
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