System Identification (SYSID '03)

System Identification (SYSID '03)

4.11 - 1251 ratings - Source

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.1 .2 Problem classification Approaches for source localisation can be classified into a€c Approaches with mobile ... Lilienthal et a/., 2002) and a€c Approaches with stationary sensors (Alpay and Shor, 2000; Khapalov, 1994; Nievergelt, 1998; ... and formulate a nonlinear least squares output error problem for the source position, source rate and source start time. ... I shows local maxima at each sensor position.

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


You Must CONTINUE and create a free account to access unlimited downloads & streaming