Identification and Control Using Volterra Models (Communications and Control Engineering) - Hardcover
Inhaltsangabe
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, nonlinear model classes. The objective ofthis book is to provide a useful reference for researchers in the field of process control and closely related areas, collecting a reasonably wide variety of results that may be found in different parts of the large literature that exists on the gen eral topics of process control, nonlinear systems theory, statistical time-series models, biomedical engineering, and digital signal processing, among others.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Weitere beliebte Ausgaben desselben Titels
Suchergebnisse für Identification and Control Using Volterra Models (Communicat...
Beispielbild für diese ISBN
Identification and Control Using Volterra Models.
Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland
Verkäuferbewertung 5 von 5 Sternen
108 figs., XIV, 314 p. Hardcover Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Communications and Control Engineering. Sprache: Englisch. Bestandsnummer des Verkäufers 1365AB
Gebraucht kaufen
EUR 19,00
EUR 30,00 shipping
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Identification and Control Using Volterra Models (Communications and Control Engineering)
Anbieter: Corner of a Foreign Field, Tokyo, TOKYO, Japan
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: Very Good. No Jacket. 1st Edition. 2002.Hardcover.Very good condition.314 pages.Ships from Japan.Usually ships in 1-2 working days. Bestandsnummer des Verkäufers 16811
Gebraucht kaufen
EUR 88,02
EUR 10,26 shipping
Versand von Japan nach USA
Versand von Japan nach USA
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Identification and Control Using Volterra Models (Communications and Control Engineering)
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
Hardcover. Zustand: Like New. Like NewLIKE NEW. book. Bestandsnummer des Verkäufers ERICA83818523314963
Gebraucht kaufen
EUR 120,21
EUR 28,60 shipping
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Identification and Control Using Volterra Models (Communications and Control Engineering)
Anbieter: Lucky's Textbooks, Dallas, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers ABLIING23Mar2912160256491
Neu kaufen
EUR 230,38
EUR 3,41 shipping
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Identification and Control Using Volterra Models
Print-on-DemandAnbieter: moluna, Greven, Deutschland
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Identification results are presented from both deterministic (least squares) and stochastic perspectivesThe identification of Volterra series is addressed from a new perspective, bringing to light many new and significant resultsBoth direct synthesi. Bestandsnummer des Verkäufers 4289384
Neu kaufen
EUR 197,62
EUR 48,99 shipping
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Identification and Control Using Volterra Models
Print-on-DemandAnbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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, nonlinear model classes. The objective ofthis book is to provide a useful reference for researchers in the field of process control and closely related areas, collecting a reasonably wide variety of results that may be found in different parts of the large literature that exists on the gen eral topics of process control, nonlinear systems theory, statistical time-series models, biomedical engineering, and digital signal processing, among others. 332 pp. Englisch. Bestandsnummer des Verkäufers 9781852331498
Neu kaufen
EUR 235,39
EUR 23,00 shipping
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 2 verfügbar
Foto des Verkäufers
Identification and Control Using Volterra Models
Print-on-DemandAnbieter: preigu, Osnabrück, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Identification and Control Using Volterra Models | F. J. Iii Doyle (u. a.) | Buch | xiv | Englisch | 2001 | Springer London | EAN 9781852331498 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 105045415
Neu kaufen
EUR 204,95
EUR 70,00 shipping
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 5 verfügbar
Foto des Verkäufers
Identification and Control Using Volterra Models
Verlag:
Springer London, Springer London Okt 2001, 2001
ISBN 10: 1852331496
ISBN 13: 9781852331498
Neu
Hardcover
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Neuware -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, nonlinear model classes. The objective ofthis book is to provide a useful reference for researchers in the field of process control and closely related areas, collecting a reasonably wide variety of results that may be found in different parts of the large literature that exists on the gen eral topics of process control, nonlinear systems theory, statistical time-series models, biomedical engineering, and digital signal processing, among others.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 332 pp. Englisch. Bestandsnummer des Verkäufers 9781852331498
Neu kaufen
EUR 235,39
EUR 60,00 shipping
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 2 verfügbar
Foto des Verkäufers
Identification and Control Using Volterra Models
Verlag:
Springer London, Springer London, 2001
ISBN 10: 1852331496
ISBN 13: 9781852331498
Neu
Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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, nonlinear model classes. The objective ofthis book is to provide a useful reference for researchers in the field of process control and closely related areas, collecting a reasonably wide variety of results that may be found in different parts of the large literature that exists on the gen eral topics of process control, nonlinear systems theory, statistical time-series models, biomedical engineering, and digital signal processing, among others. Bestandsnummer des Verkäufers 9781852331498
Neu kaufen
EUR 244,86
EUR 63,32 shipping
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 1 verfügbar