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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
| Médium | Knihy Paperback Book (Kniha s mäkkou väzbou a lepeným chrbtom) |
| Vydané | 22. marca 2024 |
| ISBN13 | 9789819905959 |
| Vydavatelia | Springer Verlag, Singapore |
| Strany | 276 |
| Rozmery | 150 × 220 × 10 mm · 493 g |
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