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Bayesian Real-Time System Identification: From Centralized to Distributed Approach 1st ed. 2023 edition
Ke Huang
Bayesian Real-Time System Identification: From Centralized to Distributed Approach 1st ed. 2023 edition
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
Médias | Livres Hardcover Book (Livre avec dos et couverture rigide) |
Validé | 21 mars 2023 |
ISBN13 | 9789819905928 |
Éditeurs | Springer Verlag, Singapore |
Pages | 276 |
Dimensions | 652 g |