Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

Ron Pearson's book on 'Discrete-Time Dynamic Models' appeared

Abstract:

Discrete-Time Dynamic Models

by Ronald K. Pearson

Oxford University Press
ISBN 0-19-512198-8
Hardback, 466 pages
Price 65.00 UK pounds

Industrial interest in model-based computer control is strong and growing, but successful applications of this approach require the availability of discrete-time models that are both accurate enough to adequately approximate process dynamics and simple enough to yield tractable control system design problems. The first step in the development of such a model is the specification of a model structure (e.g., bilinear models, Hammerstein models, Wiener models, Lur'e models, Volterra models, linear multimodels, etc.), and it is often not clear how to make this choice, despite its significant influence on both the predictive adequacy of the final model and the difficulty of the resulting control problem. This book has two primary objectives: first, to describe some of the useful model structures that have been proposed in the process control, time-series analysis, and digital signal processing literature and second, to describe some of the important qualitative behavior of these model structures to provide a rational basis for matching classes of potentially useful mathematical models with specific applications.

Brief table of contents:
Ch. 1. Motivations and Perspectives
Ch. 2. Linear Dynamic Models
Ch. 3. Four Views of Nonlinearity
Ch. 4. NARMAX Models
Ch. 5. Volterra Models
Ch. 6. Linear Multimodels
Ch. 7. Relations between Model Classes
Ch. 8. The Art of Model Development



Date/Time:

Nov 01, 1999   
Contact Person:

Ron Pearson