Téléchargez le livre : Variance-Constrained Filtering for Stochastic Complex Systems

Variance-Constrained Filtering for Stochastic Complex Systems

Theories and Algorithms de

, ,

Éditeur :

Springer


Paru le : 2025-04-29

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Description

This book is concerned with the variance-constrained optimized filtering problems and their potential applications for nonlinear time-varying dynamical systems. The distinguished features of this book are highlighted as follows.
(1) A unified framework is provided for handling the variance-constrained filtering problems of nonlinear time-varying dynamical systems with incomplete information.
(2) The application potentials of variance-constrained optimized filtering in networked time-varying dynamical systems are outlined. It contains some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.
It is a collection of several research results and thereby serves as a useful reference for upper undergraduate, postgraduate and engineers who are interested in studying (i) the variance-constrained filtering, (ii) recent advances affected by incomplete information and (iii) potential applications in practical engineering systems.
Pages
310 pages
Collection
n.c
Parution
2025-04-29
Marque
Springer
EAN papier
9789819626366
EAN PDF
9789819626373
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
13609 Ko
Prix
168,79 €
EAN EPUB
9789819626373
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
63683 Ko
Prix
168,79 €

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