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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
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 已发行 | 2023年3月21日 |
| ISBN13 | 9789819905928 |
| 出版商 | Springer Verlag, Singapore |
| 页数 | 276 |
| 商品尺寸 | 150 × 220 × 20 mm · 652 g |
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