Ron Pearson's book on 'Discrete-Time Dynamic Models' appeared | |
Abstract:Discrete-Time Dynamic Modelsby Ronald K. Pearson Oxford University Press 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: |
Date/Time: Nov 01, 1999 |
| Contact Person: Ron Pearson | |
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