Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Auteur(s) : Yuz, Juan I.
Goodwin, Graham Clifford (1945-....)
Titre(s) : Sampled-data models for linear and nonlinear systems [Texte électronique] / Juan I. Yuz, Graham C. Goodwin
Publication : London : Springer-Verlag, [2014]
Description matérielle : 1 ressource dématérialisée
Collection : Communications and Control Engineering
Note(s) : Includes bibliographical references and index
Sampled-data Models for Linear and Nonlinear Systems provides a fresh new look at
a subject with which many researchers may think themselves familiar. Rather than emphasising
the differences between sampled-data and continuous-time systems, the authors proceed
from the premise that, with modern sampling rates being as high as they are, it is
becoming more appropriate to emphasise connections and similarities
Sujet(s) : Économie politique
Systèmes, Théorie des
Indice(s) Dewey :
519.52 (23e éd.) = Théorie de l'échantillonnage (statistique mathématique)
Identifiants, prix et caractéristiques : ISBN 9781447155621
Identifiant de la notice : ark:/12148/cb446636418
Notice n° :
FRBNF44663641
(notice reprise d'un réservoir extérieur)
Table des matières : Part I: Deterministic Systems ; Background on Sampling of Signals.-Sampled Data Models
for Linear Deterministic Systems ; Incremental Sampled Data Models ; Asymptotic
Sampling Zeros ; Generalized Hold Devices ; Robustness ; Approximate Models for
Linear Deterministic Systems ; Approximate Models for Deterministic Nonlinear Systems
; Applications of Approximate Sampled-data Models in Estimation and Control ; Part
II: Stochastic Systems ; Background on Sampling of Stochastic Signals ; Sampled-data
Models for Linear Stochastic Systems ; Incremental Stochastic Sampled-data Models
; Asymptotic Sampling Zeros for Linear Stochastic Systems ; Generalized Sampling
Filters ; Approximate Sampled-data Models for Linear Stochastic Systems ; Stochastic
Nonlinear Systems ; Approximate Sampled-data Models for Nonlinear Stochastic Systems
; Applications of Approximate Stochastic Sampled-data Models ; Part III: Embellishments
and Extensions ; The Euler-Frobenius Polynominals ; Mo
