000			01767nam a2200205 4500
008			220331b ||||| |||| 00| 0 eng d
020			_a9783642422676 (pbk.)
082			_a003.3 _bISE
100			_aIsermann, Rolf _9909
245			_aIdentification of dynamic systems : _ban introduction with applications
260			_aHeidelberg _bSpringer _c2011
300			_axxv., 705p.,
500			_ahttps://link.springer.com/book/10.1007/978-3-540-78879-9#about
520			_aPrecise 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.
650			_aSystem identification _9910
650			_aSystem identification-Mathematical models _9911
650			_aComputer simulation _9912
700			_aMunchhof, Marco _9913
942			_cBK
999			_c7800 _d7800