System Identification 2003

System Identification 2003

1st Edition - June 29, 2004

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  • Editors: Paul Van Den Hof, Bo Wahlberg, Siep Weiland
  • eBook ISBN: 9780080913155

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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

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

    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 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 H͚ - 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 Subspace Identification

    Choosing Integer Parameters in Subspace Methods: A Survey on Asymptotic Results

    Asymptotic Variances of Subspace Identification by Data Orthogonalization and Model Decoupling

    A Finite Sample Comparison of Automatic Model Selection Methods

    On the Number of Rows and Columns in Subspace Identification Methods

    Aspects and Experiences of User Choices in Subspace Identification Methods

    Inferring Multivariable Delay and Seasonal Structure for Subspace Modeling

    Identification of Static and Dynamical Nonlinear Systems

    Mathematical Results Concerning Kernel Techniques

    Multi-Output Suppport Vector Regression

    Set Membership Identification of Piecewise Affine Models

    Piecewise-Linear Output-Error Models

    CMAC with Linear Functional Weights

    Optimal Expansions of Discrete-Time Volterra Models Using Laguerre Functions

    Identification and Model Validation

    Quantification of the Variance of Estimated Transfer Functions in the Presence of Undermodeling

    Reliable Parameter Estimation in Presence of Uncertain Variables that are not Estimated

    Validation Test Based Parameter Uncertainty Versus Analysis-Based Confidence Bounds

    Empirical Estimation of Parameter Distributions in System Identification

    Uncertainty of Transfer Function Modeling Using Prior Estimated Noise Models

    The Size of the Membership-Set in a Probabilistic Framework

    Model Approximation

    Connections Between L?-Model Reduction and Balanced Truncation

    Recursive Exact Hoo Identification from Impulse Response Measurements

    Properties of Optimal Solutions in L2 Identification Problem

    Optimal Approximation and Model Quality Estimation for Nonlinear Systems

    Linear Models of Nonlinear FIR Systems with Gaussian Inputs

    An Algebraic Method for System Reduction of Stationary Gaussian Systems

    Parameter Estimation and Convergence

    Separable Least Squares Data Driven Local Coordinates

    Optimal Yule Walker Method for Pole Estimation of ARMA Signals

    Initializing Parameter Estimation Algorithms Under Scarce Measurements

    Robust Parameter Estimation for Uncertain Gross-Error Models

    Limit Covariance of Estimation Error for Quasistationary Function

    Identification of Hydrologic Systems

    Structural Identification of Multivariate Neural Networks for Rainfall Runoff Modeling

    Parameter and State Regularization for Prediction of Distributed Hydrologic Systems

    Time-Delay Estimation of a Managed River Reach from Supervisory Data

    Geohydrological Application of a Nonlinear Physically Based Time Series Model

    On Physical and Data Driven Modeling of Irrigation Channels

    Identification and On-Line Estimation of the Unsaturated Hydraulic Conductivity in Presence of Forced Air Convection Based on a Distributed-Parameter Model

    Errors in Variable Identification

    Confidence Regions for Non-Parametric Errors-In-Variables Estimates

    A New Criterion in EIV Identification and Filtering Applications

    Strongly Consistent Parameter Estimate for Error-In-Variables Model

    Ellipsoid Set Refinement by Simultaneous Use of Multiple Hyperplane Cuts

    Identification Methods in a Unified Framework

    Author Index

Product details

  • No. of pages: 2088
  • Language: English
  • Copyright: © Elsevier Science 2004
  • Published: June 29, 2004
  • Imprint: Elsevier Science
  • eBook ISBN: 9780080913155

About the Editors

Paul Van Den Hof

Bo Wahlberg

Siep Weiland

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