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Identification And Control Using Volterra Models (communications And Control Engineering) by F. J. Doyle III PhD, R. K. Pearson PhD, B. A. Ogunnaike Phd (auth.) is a nonfiction available to read on EtoBox.

What is Identification And Control Using Volterra Models (communications And Control Engineering) about?

Much has been written about the general difficulty of developing the models required for model-based control of processes whose dynamics exhibit signif­ icant nonlinearity (for further discussion and references, see Chapter 1). In fact, the development ofthese models stands as a significant practical imped­ iment to widespread industrial application oftechniques like nonlinear model predictive control (NMPC), whoselinear counterpart has profoundly changed industrial practice. One ofthe reasons for this difficulty lies in the enormous variety of "nonlinear models," different classes of which can be less similar to each other than they are to the class of linear models. Consequently, it is a practical necessity to restrict consideration to one or a few specific nonlinear model classes if we are to succeed in developing, understanding, and using nonlinear models as a basis for practical control schemes. Because they repre­ sent a highly structured extension ofthe class oflinear finite impulse response (FIR) models on which industrially popular linear MPC implementations are based, this book is devoted to the class of discrete-time Volterra models and a fewother, closelyrelated, nonlin

Who reads Identification And Control Using Volterra Models (communications And Control Engineering)?

Author

F. J. Doyle III PhD, R. K. Pearson PhD, B. A. Ogunnaike Phd (auth.)

Publisher

Springer-Verlag London

Published

2002

Language

EN

ISBN

9781852331498

Category

nonfiction

Subjects

Engineering, Mathematics, Stem