Identification of dynamic systems : an introduction with applications
Isermann, Rolf
Identification of dynamic systems : an introduction with applications - Heidelberg Springer 2011 - xxv., 705p.,
https://link.springer.com/book/10.1007/978-3-540-78879-9#about
Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be derived using theoretical considerations alone. Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification. Both offline and online methods are presented, i.e. methods that post-process the measured data as well as methods that provide models during the measurement. The book is theory-oriented and application-oriented and most methods covered have been used successfully in practical applications for many different processes. Illustrative examples in this book with real measured data range from hydraulic and electric actuators, machine tools, industrial robots, pumps, vehicles to combustion engines. Real experimental data is also provided on the Springer webpage, allowing readers to gather their first experience with the methods presented in this book.
9783642422676 (pbk.)
System identification
System identification-Mathematical models
Computer simulation
003.3 / ISE
Identification of dynamic systems : an introduction with applications - Heidelberg Springer 2011 - xxv., 705p.,
https://link.springer.com/book/10.1007/978-3-540-78879-9#about
Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be derived using theoretical considerations alone. Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification. Both offline and online methods are presented, i.e. methods that post-process the measured data as well as methods that provide models during the measurement. The book is theory-oriented and application-oriented and most methods covered have been used successfully in practical applications for many different processes. Illustrative examples in this book with real measured data range from hydraulic and electric actuators, machine tools, industrial robots, pumps, vehicles to combustion engines. Real experimental data is also provided on the Springer webpage, allowing readers to gather their first experience with the methods presented in this book.
9783642422676 (pbk.)
System identification
System identification-Mathematical models
Computer simulation
003.3 / ISE