Focusing on the necessity of precise dynamic models across various fields, the book explores system identification techniques that enable the derivation of these models through empirical measurements rather than solely theoretical approaches. It emphasizes the significance of these methods in applications like controls engineering, natural sciences, and economics, providing insights into effectively capturing the dynamics of processes for better analysis and decision-making.
Marco Münchhof Libros


Identification of Dynamic Systems. An Introduction with Applications
- 730 páginas
- 26 horas de lectura
This book focuses on the determination of dynamic models through system identification, combining theory and practical applications. It covers offline and online methods, including frequency response, parameter estimation, and nonlinear identification techniques. Real experimental data is provided for hands-on experience, making it suitable for students and engineers in R&D and manufacturing.