株式会社極東書店トップ商品一覧Variance-Constrained Filtering for Stochastic Complex Systems: Theories and Algorithms.

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Variance-Constrained Filtering for Stochastic Complex Systems: Theories and Algorithms.

Variance-Constrained Filtering for Stochastic Complex Systems: Theories and Algorithms.

・ISBN 978-981-9626-39-7 paper EUR 169.99

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お気に入り
著者・編者Hu, Jun / Wang, Zidong / Jia, Chaoqing,
シリーズ (Intelligent Control and Learning Systems)
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2026
ページ数310 pp.
言語ENG
ニュース番号<A05-80973>

解説

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.