Discrete-time Dynamic Models by Ronald K. PearsonDiscrete-time Dynamic Models by Ronald K. Pearson

Discrete-time Dynamic Models

byRonald K. Pearson

Hardcover | November 15, 1999

Pricing and Purchase Info


Earn 1,303 plum® points

Prices and offers may vary in store


In stock online

Ships free on orders over $25

Not available in stores


Fueled by advances in computer technology, model-based approaches to the control of industrial processes are now widespread. While there is an enormous literature on modeling, the difficult first step of selecting an appropriate model structure has received almost no attention. This book fillsthe gap, providing practical insight into model selection for chemical processes and emphasizing structures suitable for control system design.
Robin Pearson is Former ESL/ELD consultant and Principal with the Waterloo Region District School Board. Debbie Chambers is V.P., Sydenham District High School, Limestone DSB.
Title:Discrete-time Dynamic ModelsFormat:HardcoverPublished:November 15, 1999Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0195121988

ISBN - 13:9780195121988

Look for similar items by category:


Table of Contents

1. Motivations and Perspectives2. Linear Dynamic Models3. Four Views of Nonlinearity4. NARMAX Models5. Volterra Models6. Linear Multimodels7. Relations between Model Classes8. The Art of Model DevelopmentBibliographyIndex

Editorial Reviews

"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 presentationis 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 timeseries, and it has much to offer that is hard to find elsewhere." -- Stergios B. Fotopoulos, Technometrics