System identification is the process of developing or improving a mathematical representation of a physical system using experimental data. Over the past decade, several system identification techniques have been developed within different disciplines. This text/reference brings together the significant advances over the past decade into a single unified source - with common mathematical tation that will enable readers from a variety of engineering areas - e.g., aerospace, electrical, civil, and mechanical engineering -to apply system identification to engineering systems. Focuses on the three types of identification in engineering structures - modal parameter identification; structural-model parameter identification; and control-model identification.
Jer-Nan Juang (Ph.D., Virginia Polytechnic Institute and State University) is Principal Scientist in the Spacecraft Dynamics Branch, NASA Langley Research Center, and adjunct professor, George Washington University. He is the author of over 180 publications, including over 60 archival journal papers, and is the recipient of several NASA Outstanding Performance, Special Achievement, and Technical Excellence Awards. He currently coordinates joint technical activities with other Langley and NASA organizations, other Government agencies, and industry/universities on a national and international basis. He conducts personal analytical and experimental research in the fields of mechanical designs, controller designs and system identification for control of flexible structures including Robotics.