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Record Nr. |
UNINA9910437906503321 |
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Autore |
Shimjith S. R |
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Titolo |
Modeling and control of a large nuclear reactor : a three-time-scale approach / / S.R. Shimjith, a.P. Tiwari, and B. Bandyopadhyay |
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Pubbl/distr/stampa |
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Heidelberg ; ; New York, : Springer, c2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (XXII, 138 p. 76 illus.) |
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Collana |
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Lecture notes in control and information sciences, , 0170-8643 ; ; 431 |
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Altri autori (Persone) |
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TiwariA. P |
BandyopadhyayB (Bijnan) |
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Disciplina |
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Soggetti |
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Nuclear reactors - Mathematical models |
Nuclear reactors - Control |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references, index and glossary. |
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Nota di contenuto |
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Multipoint Kinetics Modeling of Large Nuclear Reactors -- Output Feedback Control Design -- Multiparameter Singular Perturbation of Linear Optimal Regulators -- Direct Block Diagonalization and Composite Control of Three–Time–Scale Systems -- Design of Fast Output Sampling Controller for Three–Time–Scale Systems. |
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Sommario/riassunto |
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Control analysis and design of large nuclear reactors requires a suitable mathematical model representing the steady state and dynamic behavior of the reactor with reasonable accuracy. This task is, however, quite challenging because of several complex dynamic phenomena existing in a reactor. Quite often, the models developed would be of prohibitively large order, non-linear and of complex structure not readily amenable for control studies. Moreover, the existence of simultaneously occurring dynamic variations at different speeds makes the mathematical model susceptible to numerical ill-conditioning, inhibiting direct application of standard control techniques. This monograph introduces a technique for mathematical modeling of large nuclear reactors in the framework of multi-point kinetics, to obtain a comparatively smaller order model in standard state space form thus overcoming these difficulties. It further brings in innovative methods for controller design for systems exhibiting multi-time-scale property, |
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