Data-Driven Identification of Networks of Dynamic Systems

Discover the intricacies of network-connected systems with Data-Driven Identification of Networks of Dynamic Systems by Michel Verhaegen. Published by Cambridge University Press in 2022, this hardback edition spans 320 pages and serves as an excellent introduction to the identification of complex systems. Verhaegen meticulously covers essential models and methods, providing readers with a deep understanding of their applications in fields such as adaptive optics. This comprehensive overview not only addresses current methodologies but also highlights open questions within the discipline. Ideal for researchers and graduate students specializing in system identification and networked systems, this book is a valuable resource for anyone looking to enhance their knowledge in this evolving area of study.