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.

ContentsVolume 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 Maximum Likelihood Estimation of Signal Amplitude and Noise Variance from Complex Valued Data Reliable Nonlinear Identification in Medical Applications Pattern Recognition of EEG Signals During Right and Left Motor Imagery From Dynamic Metabolic Modeling to Unstructured Model Identification of Complex Biosystems Flow Controlled Non-Invasive Ventilation Considering Mask Leakage and Spontaneous Breathing Stochastic Systems Estimation and Identification of Non-Stationary Functional Series TARMA Models Modeling Multivariate Pollutant Time Series with Wavelet Functions Estimating the Lyapunov Exponents of Chaotic Time Series Based on Polynomial Modeling Sampling Density Design for Particle Filters Diffusive Representation of Af-Th Order Fractional Brownian Motion Applications of system Identification Multi-Channel Active Noise Control for Uncertain Secondary Channels Channel Estimation and Coupling Wave Cancellation in OFDM Relay Station Application of System Identification for the Prediction of Avalanche Hazard Models for Incoming Calls Forecasting in a Customer Attention Center Modeling the Relationships Between the Users DB and the Web-Log File of a Large Virtual Community Financial Econometrics A Short Introduction to Time-Varying Volatility in Financial Time Series Forecasting Emerging Equity Market Volatility Using Nonlinear GARCH Models Stochastic Properties of Multivariate Time Series Equations with Emphasis on ARCH A Rational Probability Density Approach to Stochastic Volatility Estimation Semi-Plenary. Nippets of Identification Theory in Computer Vision Snippets of System Identification in Computer Vision Semi-Plenary. Interval Analysis for Guaranteed Nonlinear Parameter Estimation Interval Analysis for Guaranteed Nonlinear Parameter Estimation Identification in Automotive Systems Online Detection of Tyre Pressure Deflation in Passenger Cars A Subspace-Based Identification Approach for the Analysis of Road Vehicles Yaw Dynamics Around Steering-Pad Conditions Identification and Fault Detection of an Active Vehicle Suspension Non-Adaptive Neural Automotive Sideslip Virtual Sensor Parametric Identification of the Car Dynamics Simulating Energy Consumption of Auxiliary Units in Heavy Vehicles Sensor Identification and Monitoring Prior Characterization of the Performance of Software Sensors Model Based Source Localisation by Distributed Sensors for Point Sources and Diffusion Continuous-Time Model Identification by Using Adaptive Observer Optimal Filtering of Nonlinear Systems Based on Pseudo Gaussian Densities A Total Least Squares Approach to Sensor Characterization Identification of Nonlinear Systems I Estimation and Validation of Semi-Parametric Dynamic Nonlinear Models Nonlinear System Modeling Using the RBF Neural Network-Based Regressive Model Modeling and Linearization of Nonlinear Dynamic Systems Linear Parameter Estimation and Predictive Constrained Control of Wiener/Hammerstein Systems Identification of Wiener Systems Using Reduced Complexity Volterra Models Structure Selection for Polynomial NARX Models Based on Simulation Error Minimization Mechanical and Aerospace Applications Nonlinear Identification of a Two Link Robotic System Using Dynamic Neural Networks Neural Network System Identification for a Low Pressure Non-Linear Dynamical Subsystem Onboard the Alicia II Climbing Robot Measurement of Young's Modulus Via Modal Analysis Experiments: A System Identification Approach A Novel Algorithm for Fully Autonomous Star Identification Fast Model Updates and Simulation for Efficient Flight Control Software Design Closed-loop Identification Continuous-Time Identification of First-Order Plus Dead-Time Models from Step Response in Closed Loop Identification of Simple Continuous-Time Models from Relay Feedback Continuous-Time Model Identification of Systems Operating in Closed-Loop Multivariable Closed-Loop System Identification of Plants Under Model Predictive Control Dead Time Measurement of Closed Loop System by Wavelet Closed Loop Identification Method Using a Subspace Approach Industrial Application of Identification Model Identification of a Multivariable Industrial Furnace Extended Fuzzy GK Clustering with Application to Identification of an Automatic Voltage Regulation Loop Dynamics On Simplified Modeling Approaches to SMB Processes Optimal Filtering for Bilinear Systems and its Application to Terpolymerization Process State Identification Neural Prediction of Cylinder Air Mass for AFR Control in SI Engine Contribution to Identification of Thermo-Mechanic Interaction at Vibrating Rubber-Like Materials Process Control Systems Identification of a High Efficiency Boiler by Support Vector Machines Without Bias Term Implementing GA-Based Predictive Controller for on-line Control of a Process Mini-Plant Long-Range Optimal Model and Multi-Step-Ahead Prediction Identification for Predictive Control Predictive Control of Flow Quantity and Sloshing-Suppression During Back-Tilting of a Ladle for Batch-Type Casting Pouring Processes Closed Loop and Performance Issues Optimal Prefiltering in Iterative Feedback Tuning Identification of Performance Limitations in Control Using General SISO Models Control Loop Performance Monitoring by CUSUM Algorithms for Local Linear Hypotheses Model Approximation of Plant and Noise Dynamics on the Basis of Closed-Loop Data IV Methods for Closed-Loop System Identification Coprime Factor Perturbation Models for Closed-Loop Model Validation Techniques Reproducing Kernels I An Introduction to Reproducing Kernel Hilbert Spaces and Why they are so Useful An Introduction to Smoothing Spline ANOVA Models in RKHS, with Examples in Geographical Data, Medicine, Atmospheric Sciences and Machine Learning Robust Design with Nonparametric Models: Prediction of Second-Order Characteristics of Process Variability by Kriging Geostatistical Models and Kriging Hilbert Space Embeddings in Dynamical Systems Bayesian Input Selection for Nonlinear Regression with LS-SVMs Volume 2 Blind Estimation and Equalization Blind Turbo Equalization Using the Constant Modulus Algorithm A New Method for Channel Estimation and Data Detection in the Context of Turbo Equalization On the Applicability to Correlated Sources of a Blind Channel Equalization Method Robust to Order Overestimation Blind Estimation with Signal Scrambling Blind Channel Shorteners Multiple Antenna System Equalization Using Semi-Blind Subspace Identification Methods Continuous Time Identification The Identification of Continuous-Time Linear and Nonlinear Models: A Tutorial with Environmental Applications Continuous-Time System Identification of A Food Extruder: Experiment Design and Data Analysis Identification of Continuous Time Models Using Discrete Time Data On Possibilities for Estimating Continuous-Time ARMA Parameters On the Interpretation of a Continuous-Time Model Identification Method in Terms of Regularization Input Design A Survey of Readily Accessible Perturbation Signals Multiple Input Design for Real-Time Parameter Estimation in the Frequency Domain Minimizing the Worst-Case v-Gap by Optimal Input Design Identification of Resonant Systems Using Periodic Multiplicative Reference Signals Aircraft Parameter Estimation by Using the Optimal Input Design and Linear Matrix Inequalities The Performance of Multilevel Perturbation Signals for Nonlinear System Identification Identification for Flight test Exploration Applying System Identification to Assess the Vibro-Acoustic Behaviour of Airplanes Subspace Identification Combined with New Mode Selection Techniques for Modal Analysis of an Airplane Flight Flutter Analysis Using Frequency-Domain System Identification Techniques 681 Real-Time Modal Analysis and its Application for Flutter Testing Statistical Approach to Flutter Monitoring Reliable System Identification for Large Flexible Space Structures Identifiability Identifiability Analysis of a Class of Systems Described By Convolution Equations Identification of Fully Parameterized Linear and Nonlinear State-Space Systems by Projected Gradient Search A Differential Geometric Viewpoint on Local Identifiability and Identification Part I: Theory A Differential Geometric Viewpoint on Local Identifiability and Identification Part II: Application Identifiability of Nonlinear Homogeneous Polynomial Systems Plenary Paper. System Identification for Structural Dynamics and Vibroacoustics Design Engineering System Identification for Structural Dynamics and Vibroacoustics Design Engineering Selected Topics in Identification A Personal View on the Development of System Identification System Identification Via a Computational Bayesian Approach A New Information Theoretic Approach to Order Estimation Problem Conditions for Local Convergence of Maximum Likelihood Estimation for Armax Models A Nonparametric Approach to Model Selection Reproducing Kernels II An Introduction to Learning with Reproducing Kernel Hilbert Spaces Sparse Gaussian Processes: Inference, Subspace Identification and Model Selection Sparse Kernel Methods A Generalised LS-SVM Adaptive Kernel Methods Subspace Regression in Reproducing Kernel Hilbert Space Identification of Nonlinear Block Models Frequency Domain Identification of Wiener Models Non-Parametric Identification of Non-Linearity in Hammerstein Systems Generation of Enhanced Initial Estimates for Wiener Systems and Hammerstein Systems User Choices and Model Validation in System Identification Using Nonlinear Wiener Models Approximation of Feasible Parameter Set in Worst Case Identification of Block-Oriented Nonlinear Models Parameters Set Evaluation of Wiener Models from Data with Bounded Output Errors New Results in Subspace Identification Constructing the State of Random Processes with Feedback Closed-Loop Subspace Identification with Innovation Estimation A Frequency Domain Subspace Algorithm for Mixed Causal, Anti-Causal LTI Systems A Stochastic Realization in a Hilbert Space Based on "LQ Decomposition" with Application to Subspace Identification Subspace-Based Identification Methods Using Schur Complement Approach Recursive Subspace Identification for Continuous-/Discrete-Time Stochastic Systems Identification for Process Control: Input Design "Plant-Friendly" System Identification: A Challenge for the Process Industries Multi-Objective Input Signal Design for Plant-Friendly Identification Control-Relevant Design of Periodic Test Input Signals for Iterative Open-Loop Identification of Multivariable FIR Systems Constrained Signal Design Using Approximate Prior Models with Application to the Tennessee Eastman Process Constrained Minimum Crest Factor Multisine Signals for "Plant-Friendly" Identification of Highly Interactive Systems Identification of Mechanical Systems Online Identification of a Robot Using Batch Adaptive Control Dynamic Identification of a Compactor Using Splines Data Processing Non-Stationary Mechanical Vibration Modeling and Analysis Via Functional Series TARMA Models Globally Convergent Adaptive Tracking of Angular Velocity with Inertia Identification and Adaptive Linearization On Vision-Based Kinematic Calibration of n-Leg Parallel Mechanisms A Geometric Approach to Motion Tracking in Manifolds Software session I Version 6 of the System Identification Toolbox Process Identification, Controller Tuning and Control Circuit Simulation Using MS Excel Developments for the MATLAB CONTSID Toolbox detectNARMAX: A Graphical User Interface for Structure Detection of NARMAX Models Using The Bootstrap Method Semi-Plenary. Data-Based Methods in Process Control Data-Based Methods for Process Analysis, Monitoring and Control Semi-Plenary Subspace Algorithms Subspace Algorithms Filtering and Estimation Optimal Filtering for Linear Systems with Multiple Delays in Observations The Information Analysis in Joint Problem of Continuous-Discrete Filtering and Generalized Extrapolation Guaranteed Ellipsoidal State Estimation for Uncertain MIMO Models Regularized Robust Estimators for Time Varying Uncertain Discrete-Time Systems Minimax L2-E2 FIR Filters for Deterministic Continuous-Time State Space Signal Models Numerically Reliable H¿ - Synthesis of Estimators Based on J- Lossless Factorizations Diagnosis, Detection and Tracking Statistical Analysis of Subspace-Based Method for Direction Estimation Without Eigendecomposition Fault Detection of Non-Linear Systems Based on Multi-Form Quasi-Armax Modeling and its Application A Comparison of Two Methods for Stochastic Fault Detection: The Parity Space Approach and Principal Components Analysis Identification of Object's Movement Models in a Radar Tracking Filter Estimation and Tracking of Quasi-Periodically Varying Processes Volume 3 Identification of Nonlinear Systems II A Pruning Method for the Identification of Polynomial N ARMAX Models Generalized Orthonormal Basis Selection for Expanding Quadratic Volterra Filters A Localized Forgetting Method for On-Line Adaptation of Gaussion RBFN Models Subspace Identification of Switching Model Application-Oriented Neural Modeling Identification Methods Closed-Form Frequency Estimation Using Second-Order Notch Filters L1 Prediction Error System Identification: A Modified AIC Rule On Parameter Estimation of ARMAX Model Via BCLS Method Estimation in the Presence of Interferences Autoregressive Spectral Analysis with Randomly Missing Data Estimating Unknown Probability Density Functions for Random Parameters of Stochastic ARMAX Systems Controller Tuning and Identification Iterative Controller Tuning by Minimization of a Generalized Decorrelation Criterion Subspace Identification Based PID Control Tuning Evolutionary Tuning of PID Parameters Adaptive, Cautious, Predictive Control with Gaussian Process Priors Controller Design for Systems Suffering Nonlinear Distortions How the Output Saturation of a Regulator Influences the Reachable Performance and Robustness Measures Applications of Identification Random Loading Identification of a Plastic Glass Cantilever Beam On Sequential Identification of a Diffusion Type Process with Memory Incremental Identification of Transport Coefficients in Distributed Systems On the Structure of Static Balanced Flow Systems Endogeneity and Identification in Transportation Systems: Econometric Relationships to Partial Tool for Equal Opportunity Evaluation in Dynamic Organizations Bioengineering Systems Linearization in the Parameters Via Differential Algebra Techniques A Penalty Function Approach to HIV/AIDS Model Parameter Estimation Sensitivity Analysis and Parameter Identification of Wastewater Treatment System Based on Activated Sludge Models A Methodology for Nonlinear System Identification Using Volterra Series. Application to an Anaerobic Digestor Some Relations of Sensitivity Functions in Bio-Reactor Models An Experimental Object-Oriented Modeling of an Hydraulic Valley Particle Filters Particle Filters for System Identification with Application to Chaos Prediction Particle Filters for System Identification of State-Space Models Linear in Either Parameters or States Fault Detection, Isolation and Diagnosis with Particle Filters for Nonlinear Stochastic Systems Monte Carlo Mixture Kalman Filter and its Application to Space-Time Inversion A Particle Implementation of the Recursive MLE for Partially Observed Diffusions Online Sampling for Parameter Estimation in General State Space Models Wiener Hammerstein Models Nonlinear Structure Identification with Application to Wiener-Hammerstein Systems Identification of a Wiener System with Some General Discontinuous Nonlinearities Nonlinear Model Identification Using Working Point Variables Identification of Wiener-Hammerstein Models with Cubic Nonlinearity Using LIFRED Performance Investigation of SLICOT Wiener Systems Identification Toolbox Identification Using basis functions Rational Bases Generated by Blaschke Product Systems More on Sparse Representations in Arbitrary Bases On Spectral Analysis Using Models with Pre-Specified Zeros Identification of Rational Spectral Densities Using Orthonormal Basis Functions Orthonormal Basis Functions for Modeling Continuous-Time Fractional Systems Adaptive Laguerre Time Scaling Factor in Predictive Control Subspace Identification and Applications Identification of MIMO State Space Models for Helicopter Dynamics Estimation of Damped and Undamped Sinusoids with Application to Analysis of Electromagnetic FDTD Simulation Data Application of a Recursive Subspace Identification Algorithm to Change Detection Subspace-Based Modal Identification and Monitoring of Large Structures: A Scilab Toolbox Identifying Positive Real Models in Subspace Identification by Using Regularization Modeling Human Gaits with Subtleties Identification in Large Scale Systems Reduction of Large-Scale Groundwater Flow Models Via the Galerkin Projection Model Reduction for Large-Scale Linear Applications Reduced Order Modeling of an Industrial Feeder Model Industrial Applications of Identification Identification of the Topology of a Power System Network LPV Identification of a Diesel Engine Torque Model Identification and Control of a PV-Supplied Separately Excited DC Motor Using Universal Learning Networks Validation of Stability for an Induction Machine Drive Using Experiments Automatic Steering Control System Design Utilizing a Visual Feedback Approach - System Identification and Control Experiments with a Radio-Controlled Car Application of RBF-Type ARX Modeling and Control to Gas Turbine Combined Cycle SCR Systems Software Session II Automatic Time Series Identification Spectral Analysis with MATLAB Toolbox ARMASA MULTI-EDIP - An Interactive Software Package for Process Identification KALMTOOL for Use with MATLAB The ADAPTx Software for Automated and Real-Time Multivariable System Identification Frequency Domain System Identification Toolbox for MATLAB: Automatic Processing - from Data to Models Plenarypaper Prediction Algorithms: Complexity, Concentration and ConvexitY Prediction Algorithms: Complexity, Concentration and Convexity Identification and Physical Modeling Grey-Box Model Calibrator and Validator Initialization of Physical Parameter Estimates Parameter Estimation in Linear Differential-Algebraic Equations Model Validation in Non-Linear Continuous-Discrete Grey-Box Models Identification of Mechanical Parameters in Drive Train Systems Identification and Model Predictive Control of a pH Neutralization Process Based on Linear and Wiener Models Identification of Nonlinear Systems Local Modeling of Nonlinear Dynamic Systems Using Direct Weight Optimization Optimality in SM Identification of Nonlinear Systems A Suboptimal Bootstrap Method for Structure Detection of Nonlinear Output-Error Models Identification of Nonlinear Parametrically Varying Models Using Separable Least Squares Modeling and Identification of Rate-Independent Hysteresis Using a Semilinear Duhem Model Least Squares Harmonic Signal Analysis Using Periodic Orbits of ODEs Volume 4 Education and Training Educational Aspects of Identification Software user Interfaces An Identification Course on the Web: Rationale, Realization and Students' Evaluation Control Related Topics in Identification - Closed Loop Experiments and Identification for Control Teaching Semiphysical Modeling to Chemical Engineering Students Using a Brine-Water Mixing Tank Experiment Estimating Parameters in a Lumped Parameter System with First Principle Modeling and Dynamic Experiments Recursive and Subspace Identification Recursive Subspace Identification Based on Projector Tracking Subspace Identification and ARX Modeling Parallel QR Implementation of Subspace Identification with Parsimonious Models A New Recursive Method for Subspace Identification of Noisy Systems: EIVPM Canonical Correlation Partial Least Squares Frequency-Domain System Identification Techniques for Experimental and Operational Modal Analysis Process Control: Theory Data-Driven Modeling of Nonlinear and Time- Varying Processes PID Parameter Cycling to Tune Industrial Controllers: a New Model-Free Approach Stepwise Refinement of Sparse Grids in Data Mining Applications Iterative Identification for Control and Robust Performance of Bioreactor Modified Subspace Identification Method for Building a Long-Range Prediction Model for Inferential Control Identification and Model Predictive Control of an Industrial Glass-Feeder Application of system Identification Computationally Efficient Estimation of Wave Propagation Functions of Viscoelastic Materials Identification of Underlying Intensity Processes of Interference Patterns Fractional Multimodels - Application to Heat Transfer Modeling A Recursive Algorithm for Estimating Parameters in a One Dimensional Diffusion System Regularization Method in Infrared Image Processing Filtering of Stochastic Volatility Model Optimal Filtering State Estimation for Nonlinear Continuous Systems in a Bounded-Error Context Multigrid Design in Point-Mass Approach to Nonlinear State Estimation An Efficient Nonlinear Adaptive Observer with Global Convergence Adaptive Observer for Discrete Time Linear Time Varying Systems Linear Dynamic Filtering with Noisy Input and Output The p-Norm Generalization of the LMS Algorithm for Adaptive Filtering Semi-Plenary.Identification of Linear Systems with Nonlinear Distortions Identification of Linear Systems with Nonlinear Distortions Semi-Plenary. Some Problems in Statistical Inference Following Model Selection Some Problems in Statistical Inference following Model Selection User Choices in Subspac