Bayesian Real-Time System Identification

Discover the cutting-edge advancements in Bayesian real-time system identification with the insightful book Bayesian Real-Time System Identification by Springer Verlag. Published in 2024, this comprehensive guide spans 276 pages, providing readers with a centralized Bayesian identification framework designed to tackle the complexities of real-time parameter estimation.

Delve into critical topics such as outlier detection and the tracking of system and noise parameters, making this book an essential resource for professionals and researchers in the field. Whether you are looking to enhance your understanding or implement these techniques in practical applications, this text serves as an invaluable tool. Don't miss the opportunity to elevate your knowledge with this 2023 edition from Bookshop, your trusted source for quality literature.