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商品詳細
Variance-Constrained Filtering for Stochastic Complex Systems: Theories and Algorithms.
・ISBN 978-981-9626-39-7 paper EUR 169.99
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| 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.