000 03109nam a2200301za04500
001 17422
008 050703s2011 gw eng d
020 _a9783540788799 99783540788799
082 _a629.8
_b223
100 _aIsermann, Rolf.
_eauthor.
_934944
245 _aIdentification of Dynamic Systems
_h[electronic resource]:
_bAn Introduction with Applications /
_cby Rolf Isermann, Marco MAnchhof.
300 _aXXV, 705 p. 268 illus.
_bonline resource.
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, vehiclesá 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. Among others, the book covers the following subjects: determination of the nonparametric frequency response, (fast) Fourier transform, correlation analysis, parameter estimation with a focus on the method of Least Squares and modifications, identification of time-variant processes, identification in closed-loop, identification of continuous time processes, and subspace methods. Some methods for nonlinear system identification are also considered, such as the Extended Kalman filter and neural networks. The different methods are compared by using a real three-mass oscillator process, a model of a drive train. For many identification methods, hints for the practical implementation and application are provided. The book is intended to meet the needs of students and practicing engineers working in research and development, design and manufacturing.
650 _aEngineering.
_996
650 _aEngineering.
_996
650 _934945
_aCALCULUS OF VARIATIONS AND OPTICALCONTROL, OBTIMIZATION
650 _934210
_aCOMPLEXITY
650 _934207
_aPHYSICS
650 _933950
_aCOMPUTER SIMULATION
650 _933916
_aSIMULATION AND MODELING
650 _933610
_aNUMERICAL AND COMPUTATIONAL PHYSICS
650 _933591
_aCONTROL, ROBOTICS, MECHATRONICS
700 _aMAnchhof, Marco.
_934946
700 _eauthor.
_934947
710 _aSpringerLink (Online service)
_9111
856 _uhttp://springer.escuelaing.metaproxy.org/book/10.1007/978-3-540-78879-9
_yir a documento
_qURL
942 _2ddc
_cCF
999 _c14047
_d14047