
Tell your friends about this item:
Bayesian Real-Time System Identification: From Centralized to Distributed Approach 2023 edition
Ke Huang
Bayesian Real-Time System Identification: From Centralized to Distributed Approach 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
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | March 22, 2024 |
ISBN13 | 9789819905959 |
Publishers | Springer Verlag, Singapore |
Pages | 276 |
Dimensions | 553 g (Weight (estimated)) |