Identification of Dynamic Systems

Introduction .- Mathematical Models of Linear Dynamic Systems and Stochastic Signals

Part I: Identification of Non-Parametric Models in the Frequency Domain - Continuous Time Signals

Part II: Identification with Non-Parametric Models - Continuous and Discrete Time

Part III: Identification with Parametric Models - Discrete Time Signals

Part IV: Identification with Parametric Models - Continuous Time Signals

PartV: Identification of Multi-Variable Systems

Part VI: Identification of Non-Linear Systems

Part VII: Miscellaneous Issues

Part VIII Applications

Part IX Appendix.

Rolf Isermann studied Mechanical Engineering and obtained the Dr.-Ing. degree in 1965 from the University of Stuttgart. In 1968 he became "Privatdozent" for Automatic Control and since 1972 Professor in Control Engineering at the University of Stuttgart. From 1977-2006 he was Professor for Control Systems and Process Automation at the Institute of Automatic Control of the Darmstadt University of Technology. Since 2006 he is Professor emeritus and is head of the Research Group of Control Systems and Process Automation. R. Isermann received the Dr. h.c. (honoris causa) from L'Université Libre de Bruxelles and from the Polytechnic University in Bucharest. In 1996 he was awarded the "VDE-Ehrenring", and in 2007 the "VDI-Ehrenmitglied". The MIT Technology Review Magazine awarded him in 2003 to the Top Ten representatives of emerging Technologies for the field of Mechatronics. R. Isermann has published books on Modeling of Technical Processes, Process Identification, Digital Control Systems, Adaptive Control Systems, Mechatronic Systems, Fault Diagnosis Systems, Engine Control and Vehicle Drive Dynamics Control. Current research concentrates on the fields of identification and digital control of nonlinear systems, intelligent control and model-based methods of process fault diagnosis with applications to servo systems, fault-tolerant systems, combustion engines, automobiles and mechatronic systems. The research group on combustion engines works on multivariable engine modeling, HiL-simulation, combustion pressure control and fault diagnosis of both, CR-Diesel engines and FSI-gasoline engines. In the vehicle dynamics group present topics are parameter estimation for drive dynamics control, fault detection of sensors, suspensions, tires and brake systems and the development of collision avoidance systems with surrounding sensing and active braking and steering. The first books on system identification were published in German and date back to 1971, 1974, 1988,

From the reviews:

"The book being reviewed may serve as a useful entry guidebook to the assembling of mathematical models for actual physical systems, some of which are even pictured. The gamut of problems that the book's material addresses is illustrated, over about seventy-five pages, with fifteen concrete examples ... . One remarkable feature of the book is an effort made to help the reader in the process of choice of models and methods through overview tables and diagrams." (A. F. Gualtierotti, Mathematical Reviews, Issue 2011 m)

"The book presents a broad spectrum of methods and approaches to dynamic system identification in a simple and unified manner. ... Each chapter is completed with a set of problems to be solved by the reader and a list of references. The book can be recommended as a good overview of contemporary parametric system identification techniques." (Zygmunt Hasiewicz, Zentralblatt MATH, Vol. 1230, 2012)