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Identification and Control Using Volterra Models
Doyle, Francis J.; Pearson, R. K.; Ogunnaike, Babatunde
€ 289.00
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Description for Identification and Control Using Volterra Models
Hardback. This text covers recent results in the analysis, identification and control of systems described by Volterra models. This work is suitable as a text for a graduate control course or as a reference for research and/or practice. Examples are drawn from chemical, biological and electrical engineering. Series: Communications and Control Engineering. Num Pages: 328 pages, biography. BIC Classification: TJFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 19. Weight in Grams: 642.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2001
Publisher
Springer London Ltd United Kingdom
Number of pages
328
Condition
New
Series
Communications and Control Engineering
Number of Pages
314
Place of Publication
England, United Kingdom
ISBN
9781852331498
SKU
V9781852331498
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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