Discrete-time Dynamic Models
Published on 16. December 1999
Book
Hardback
480 pages
978-0-19-512198-8 (ISBN)
Description
Fuelled by advances in computer technology, model-based approaches to the control of industrial processes are now widespread. While there is an enormous literature on modelling, the difficult first step of selecting an appropriate model structure has received almost no attention. This book fills the gap, providing practical insight into model selection for chemical processes and emphasizing structures suitable for control system design.
Reviews / Votes
"The author provides an excellent view of his experiences from industry. An excellent book intended to educate the specialized reader in physical fields, particularly those who are working in the time domain. Pearson has done an excellent job of covering nonstandard topics in time series, which more than justifies the book's existence. The book contains many realistic examples, and a rich collection of scenarios with liberal references to the appliedliterature. It is extremely readable, and the author is to be commended for his lucid writing style. Overall, the authors presentation is insightful and consistent. It is well written and nicely organized. The
books appeal is that it illustrates a wide range of results for many kinds of models that appear in stochastic processes and time series literature. Finally, this book is an important addition in the areas of nonlinear time series, and it has much to offer that is hard to find elsewhere." -- Stergios B. Fotopoulos, Technometrics
"The author provides an excellent view of his experiences from industry. An excellent book intended to educate the specialized reader in physical fields, particularly those who are working in the time domain. Pearson has done an excellent job of covering nonstandard topics in time series, which more than justifies the book's existence. The book contains many realistic examples, and a rich collection of scenarios with liberal references to the applied
literature. It is extremely readable, and the author is to be commended for his lucid writing style. Overall, the authors presentation is insightful and consistent. It is well written and nicely organized. The
books appeal is that it illustrates a wide range of results for many kinds of models that appear in stochastic processes and time series literature. Finally, this book is an important addition in the areas of nonlinear time series, and it has much to offer that is hard to find elsewhere." -- Stergios B. Fotopoulos, Technometrics
More details
Series
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Illustrations
numerous figures
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 30 mm
Weight
886 gr
ISBN-13
978-0-19-512198-8 (9780195121988)
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Schweitzer Classification
Other editions
Additional editions
Content
1. Motivations and perspectives ; 2. Linear dynamic models ; 3. Four views of nonlinearity ; 4. NARMAX models ; 5. Volterra models ; 6. Linear multi-models ; 7. Relations between model classes ; 8. The art of model development