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Discrete-Time Dynamic Models

Author(s):

R. Pearson
Conference/Journal:

New York
Abstract:

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.

Further Information
Year:

1999
Type of Publication:

(02)Book
Supervisor:



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% Autogenerated BibTeX entry
@Book { Xxx:1999:IFA_1086,
    author={R. Pearson},
    title={{Discrete-Time Dynamic Models}},
    publisher={Oxford University Press},
    year={1999},
    volume={},
    number={},
    address={New York}
}
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