System Identification (SYSID '03)

System Identification (SYSID '03)

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The scope of the symposium covers all major aspects of system identification, experimental modelling, signal processing and adaptive control, ranging from theoretical, methodological and scientific developments to a large variety of (engineering) application areas. It is the intention of the organizers to promote SYSID 2003 as a meeting place where scientists and engineers from several research communities can meet to discuss issues related to these areas. Relevant topics for the symposium program include: Identification of linear and multivariable systems, identification of nonlinear systems, including neural networks, identification of hybrid and distributed systems, Identification for control, experimental modelling in process control, vibration and modal analysis, model validation, monitoring and fault detection, signal processing and communication, parameter estimation and inverse modelling, statistical analysis and uncertainty bounding, adaptive control and data-based controller tuning, learning, data mining and Bayesian approaches, sequential Monte Carlo methods, including particle filtering, applications in process control systems, motion control systems, robotics, aerospace systems, bioengineering and medical systems, physical measurement systems, automotive systems, econometrics, transportation and communication systems *Provides the latest research on System Identification *Contains contributions written by experts in the field *Part of the IFAC Proceedings Series which provides a comprehensive overview of the major topics in control engineering.A Proceedings Volume from the 13th IFAC Symposium on System Identification, Rotterdam, the Netherlands, 27-29 August 2003 ... The solution in (Ljung 2003a) is to use the default value auto, which means that an automatic choice is made in the course of the calculations. ... Users Manual. Adaptics, Inc.. 1717 Briar Ridge Road, McLean, VA. Ljung, L. (1999). System Identification - Theory for the User.

Title:System Identification (SYSID '03)
Author:P. M. J. van den Hof
Publisher:Elsevier - 2004-06-29


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