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Bayesian Real-Time System Identification: From Centralized to Distributed Approach Ke Huang 2023 edition
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Bayesian Real-Time System Identification: From Centralized to Distributed Approach
Ke Huang
This book introduces some recent developments in Bayesian real-time system identification. A centralized Bayesian identification framework is presented to address challenging problems of real-time parameter estimation, which covers outlier detection, system, and noise parameters tracking.
276 pages, 127 Illustrations, color; 27 Illustrations, black and white; XII, 276 p. 154 illus., 127
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2024年3月22日 |
| ISBN13 | 9789819905959 |
| 出版社 | Springer Verlag, Singapore |
| ページ数 | 276 |
| 寸法 | 150 × 220 × 10 mm · 493 g |
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