Description

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

Key Features

*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.

Table of Contents

Contents Volume 1 Plenary Paper from Experiments to Closed-Loop Control From Experiments to Closed Loop Control Identification for Control Exploratory Modeling for Controller Optimization Connecting PE Identification and Robust Control Theory: The Multiple-Input Single-Output Case. Part I: Uncertainty Region Validation Connecting PE Identification and Robust Control Theory: The Multiple-Input Single-Output Case. Part II: Controller Validation Relation Between Uncertainty Structures in Identification for Robust Control Strong Robustness Measures for Sets of Linear SISO Systems Using a Sufficient Condition to Analyze the Interplay Between Identification and Control Nonlinear Identification Structure Selection with ANOVA: Local Linear Models On Identification of Hammerstein Systems Using Excitation with a Finite Number of Levels Fast Approximate Identification of Nonlinear Systems Gaussian Processes Framework for Validation of Linear and Nonlinear Models Functional Analytic Framework for Model Selection Robust Complexity Criteria for Nonlinear Regression in NARX Models Identification of Mimo Communication Channels Analysis of MIMO Channel Measurements Performance Evaluation of MIMO Channel Prediction Algorithms Using Measurements High-Resolution Channel Parameter Estimation for Communication Systems Equipped with Antenna Arrays Analysis of Spectral-Based Localization of Spatially Distributed Sources Ray Tracing Interpretation of Multiple-Input Multiple-Output Wireless Systems Computationally Efficient Blind MMSE Receivers for Long Code WCMDA Using Time-Varying Systems Theory Estimation in Physical and Medical Systems Maximum Likelihood Identification of Quantum Systems for Control Design Maximu

Details

No. of pages:
2088
Language:
English
Copyright:
© 2004
Published:
Imprint:
Elsevier Science
Print ISBN:
9780080437095
Electronic ISBN:
9780080913155