Bayesian Real-Time System Identification: From Centralized to Distributed Approach

Bayesian Real-Time System Identification: From Centralized to Distributed Approach 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. Autor: Ke Huang, Ka-Veng Yuen Wydawnictwo: Springer Rok wydania: 2024 Okładka: miękka Liczba stron: 276 Wymiary: 23.5 x 15.5 cm Ilustracje: 127 Illustrations, color; 27 Illustrations, black and white; XII, 276 p. 154 illus., 127 illus. in color. Język: angielski ISBN: 9789819905959