Van den Hof, Paul - Delft Center for Systems and Control, Technische Universiteit Delft

• A Virtual Closed Loop Method for Closed Loop Identification Juan C. Aguero a
• PROBABILISTIC MODEL UNCERTAINTY BOUNDING: AN APPROACH WITH
• 656 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 43, NO. 5, MAY 1998 Frequency Domain Identification with Generalized
• This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by Associate editor
• Order and Structural Dependence Selection of LPV-ARX Models Using a Nonnegative Garrote Approach
• Real-Time Control of a Semi-Industrial Fed-Batch Evaporative Crystallizer Using Different
• Identification for Control Design with Application to a
• Identification of nonlinear process models in an LPV framework
• Model-Based Control and Optimization of Large Scale Physical Systems -Challenges in Reservoir Engineering
• SPE 124332 (revised) Hierarchical Long-Term and Short-Term Production Optimization
• ERGONOMICS, 1992, VOL 35, NOS 5/6, 55) -564 Equation error versus output error methods
• IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 9, NO. 2, MARCH 2001 381 Multivariable Feedback Relevant System Identification of a Wafer Stepper
• Nonlinear Model Predictive Control of Municipal Solid Waste Combustion Plants
• European Conference on the Mathematics of Oil Recovery --Bergen, Norway, 8 -11 September 2008
• Finite-time experiment design with X. Bombois
• Approximate Identification and Control Design
• An Alternative Paradigm for Probabilistic Uncertainty Bounding in Prediction Error Identification
• Real-time Dynamic Optimization of Batch Crystallization Processes
• Automatica,Vol.29,No.6. pp. 1523-1527,1993 0005-1098/93$6.~1+0.00 PrintedinGreatBritain. ~) 1993PergamonPressLtd
• VALIDITY OF THE STANDARD CROSS-CORRELATION TEST FOR MODEL
• European Conference on the Mathematics of Oil Recovery --Amsterdam, The Netherlands 4 -7 September 2006
• Optimal instrumental variable method for closed-loop identification
• Model Structures for Identification of Linear Parameter-Varying (LPV) Models
• Pergamon ooo5-109&?(94)ooo99-9 Aukmalica, Vol. 31, No. 4, pp. 543-557, 1995
• Automatica 41 (2005) 241249 www.elsevier.com/locate/automatica
• Effect of model structure and signal-to-noise ratio on finite-time uncertainty bounding in prediction error identification
• Integrated Dynamic Optimization and Control in Reservoir Engineering using Locally Identified Linear Models
• Virtual Closed Loop Identification: A generalized tool for identification in closed loop
• Identification of Model Uncertainty for Control Design
• Closed-loop system identification via a tailor-made IV method Paul Van den Hof, Marion Gilson
• Identifiability: from qualitative analysis to model structure approximation
• Flexible model structures for LPV identification with static scheduling dependency
• Delft University of Technology Delft Center for Systems and Control
• Automatica 45 (2009) 13591370 Contents lists available at ScienceDirect
• On the choice of uncertainty structure in identification for robust control
• 8th International IFAC Symposium on Dynamics and Control of Process Systems
• NEW OPTIMIZATION-BASED APPROACH TO CHEMICAL REACTOR SYNTHESIS TOWARDS THE FULL INTEGRATION OF REACTOR
• MODEL-BASED OPTIMAL OPERATION OF SEEDED BATCH CRYSTALLISATION PROCESSES
• Automatica, Vol. 28, No. 5, pp. 1047-1050, 1992 Printed in Great Britain.
• Delft University of Technology Delft Center for Systems and Control
• Crucial Aspects of Zero-Order Hold LPV State-Space System Discretization
• Boundary Actuation Structure of Linearized Two-Phase Flow S. Djordjevic, O.H. Bosgra, P.M.J. Van den Hof, D. Jeltsema
• DownloadedBy:[UTUniversityofTechnologyDelft]At:09:4312July2007 On rnultivariable partial realization?
• Discretization of Linear Fractional Representations of LPV systems R. Toth, M. Lovera, P. S. C. Heuberger and P. M. J. Van den Hof
• Feedback Oriented Identification for Enhanced and Robust Control
• An LPV identification Framework Based on Orthonormal Basis Functions
• Comput Geosci (2008) 12:605622 DOI 10.1007/s10596-008-9100-3
• On The Discretization of LPV State-Space Representations
• Real-time Control of a Semi-industrial Fed-batch Evaporative Crystallizer Using Different Direct
• Integrated Dynamic Optimization and Control in Reservoir Engineering using Locally Identified Linear Models
• Instrumental-variable methods for continuous-time model identification in closed-loop
• Identification of parameters in large scale physical model structures, for the purpose of
• Published in IET Control Theory and Applications Received on 5th November 2009
• chemical engineering research and design 8 8 ( 2 0 1 0 ) 12231233 Contents lists available at ScienceDirect
• Author's personal copy Accelerating simulations of computationally intensive first principle models
• Chemical Engineering Science 64 (2009) 4262 --4277 Contents lists available at ScienceDirect
• Automatica 42 (2006) 16511662 www.elsevier.com/locate/automatica
• Automatica 41 (2005) 439457 www.elsevier.com/locate/automatica
• ORTHONORMAL BASIS FUNCTIONS IN TIME AND FREQUENCY DOMAIN: HAMBO TRANSFORM THEORY
• Control Engineering Practice 10 (2002) 315326 MIMO closed-loop identification of an MSW incinerator
• Automatica 37 (2001) 803}804 Pieter Eykho4, 1929+2000
• Automatica 36 (2000) 1809}1818 Extended Ho}Kalman algorithm for systems represented
• 1516 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 42, NO. 11, NOVEMBER 1997 Identification of Probabilistic System Uncertainty
• Closed-Loop Identification of a Continuous Crystallization Process
• Pergamon ooos1098(95)ooo74-7 Aufomofico. Vol. 31, No. 12, pp. 1821-1834, 1995
• 0005-1098(95)00094-l Auromarica, Vol. 31, No. 12, pp. pp. 1751-1770, 1995
• INT. J. CONTROL, 1994, VOL. 60, No.5, 809-825 Frequency domain curve fitting with maximum amplitude criterion
• Automattca, Vol 30 No 4 pp 679-690. 1994 Copynght ~) 1994Elsevter Sctence Ltd
• INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, VOL. 4, 301-319 (1994) QUANTIFICATION OF MODEL UNCERTAINTY FROM
• PLEASE SCROLL DOWN FOR ARTICLE This article was downloaded by: [Technische Universiteit Delft]
• Closed-loop Performance Diagnosis Using Prediction Error Identification
• NOVEL APROACH TO PROCESS SYNTHESIS BASED ON DYNAMIC OPTIMIZATION AND EXPLOITION OF PROCESS
• Dynamics and Modal Control of Piezoelectric Tube Actuators
• Multivariable Frequency Domain Identification using IV-based Linear Rogier S. Blom and Paul M. J. Van den Hof
• Improved Economic Operation of MSWC Plants with a New Model Based PID Control Strategy
• A Comparison of Nonlinear State Estimators for Closed-loop Control of
• Stochastic Nonlinear Observers for Industrial Seeded Batch Crystallization Processes
• Proceedings of the euspen International Conference Delft -June 2010 Modal actuation for high speed piezoelectric positioning
• Lexicographic Optimization of Multiple Economic Objectives in Oil Production from Petroleum Reservoirs
• Modal actuation for high bandwidth nano-positioning J.R. van Hulzen, G. Schitter, P.M.J. Van den Hof and J. van Eijk
• On the actuation of process systems A.E.M. Huesman
• Hierarchical Economic Optimization of Oil Production from Petroleum Reservoirs
• Closed-Loop Reservoir Management J.D.Jansen, SPE, Shell Intl. E&P (SIEP) and Delft University of Technology (DUT); S.D. Douma, SPE,
• INTEGRATING MPC AND RTO IN THE PROCESS INDUSTRY BY ECONOMIC DYNAMIC LEXICOGRAPHIC OPTIMIZATION;
• Determining Identifiable Parameterizations for Large-scale Physical Models in
• Estimating Cutting Forces in Micromilling by Input Estimation from Closed-loop
• Probabilistic Uncertainty Bounding in Output Error Models with Unmodelled Dynamics
• Accelerating simulations of first principle models of complex industrial systems using quasi linear parameter varying models
• ON MODEL SELECTION FOR STATE ESTIMATION FOR NONLINEAR SYSTEMS
• Proceeding of the 2004 American Control Conference Boston, MassachusettsJune 3 0 . July 2.2004
• VALIDATION TEST BASED PARAMETER UNCERTAINTY VERSUS ANALYSIS-BASED CONFIDENCE BOUNDS
• RELATION BETWEEN UNCERTAINTY STRUCTURES IN IDENTIFICATION FOR ROBUST CONTROL
• IV METHODS FOR CLOSED-LOOP SYSTEM IDENTIFICATION
• CONTROLLER TUNING FREEDOM UNDER PLANT IDENTIFICATION UNCERTAINTY: DOUBLE YOULA BEATS
• Delft University of Technology Delft Center for Systems and Control
• CURRICULUM VITAE Paul M.J. Van den Hof
• Model-based Process Monitoring and Control of Micro-milling using Active Magnetic
• Model Structure Analysis for Model-based Operation of
• || Om gurave namah || From data to performance
• Systems & Control Letters 2 (1982) 202-208 December 1982 North-Holland Publishing Company
• NEW INSIGHTS IN CLOSED-LOOP IDENTIFICATION WITH BIAS-ELIMINATED LEAST-SQUARES (BELS)
• Towards the systematic design of actuation for process systems
• Pergamon ooo5-1098(95)00173-1 Auwmatica. Vol. 31. No. 7, pp. 957~9b9.199.5
• Automatica,Vol.30, No. 3, pp. 433-446,1994 Copyright~) 1994ElsevierScienceLtd
• Copyright 2006, Society of Petroleum Engineers This paper was prepared for presentation at the 2006 SPE Annual Technical Conference and
• NONLINEAR MODEL PREDICTIVE CONTROL WITH MOVING HORIZON STATE AND
• A prediction-error identification framework for linear parameter-varying systems
• Refined Instrumental Variable methods for closed-loop system identification
• Journal of Process Control 21 (2011) 652666 Contents lists available at ScienceDirect
• Improvement of efficiency in identification and model predictive control
• The Behavioral Approach to Linear Parameter-Varying systems
• Informative Data and Identifiability in LPV-ARX Prediction-Error Identification
• 82 -Automazione e Strumentazione -Maggio 2010 Interaction design and control, actuation, optimal control,
• Optimal Operation of Industrial Batch Crystallizers
• IEEE Instrumentation and Measurement Technology Conference
• The original version of this paper was presented at the 11th IFAC Symposium on System Identi"cation, Kitakyushu, Japan, 8}11 July
• Rational orthonormal bases and related transforms in linear system modeling
• Available online at www.sciencedirect.com Automatica 39 (2003) 325333
• Mathematical Modelling of Systems 1381-2424/97/0202-00$12.00 1997, Vol. 3, No. 1, pp. 77101 c Swets & Zeitlinger
• Finite Sample Confidence Regions for Parameters in Prediction Error
• IEEETRANSACTIONSONUTOMATICCONTROL, VOL. AC-32.NO. 1, JANUARY1987 89 MONTE CARLO INPUTS
• Author's personal copy Model-based control of multiphase flow in subsurface oil reservoirs
• Robust Optimization of Oil Reservoir Flooding G.M. van Essen, M.J. Zandvliet,
• Dynamics, load balancing, and modal control of piezoelectric tube J. R. van Hulzena,
• Boundary Control of Two-Phase Fluid Flow Using the Laplace-Space Snezana Djordjevic, Okko H. Bosgra, and Paul M.J. Van den Hof
• LPV System Identification with Globally Fixed Orthonormal Basis Functions
• System Identification Robust Process Control
• Model-based Optimal Control of Industrial Batch Crystallizers Ali Mesbah1,2
• Accelerating Large-Scale Non-Linear Models for Monitoring and Control using Spatial and Temporal Correlations
• Dynamics and Modal Control of Piezoelectric Tube Actuators
• A Virtual Closed Loop Method for Closed Loop Identification Juan C. Aguero a
• A Comparison of Nonlinear Observers for Output Feedback Model-based Control of Seeded Batch
• Automatica 38 (2002) 655669 www.elsevier.com/locate/automatica
• IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 34. NO. 2, FEBRUARY 1989 191 time-invariant systems," J. Franklin Inst., vol. 300. pp 335-351, Nov.-Dec.
• PIkSOOO5-1098(96)00021-O Aurmicu, Vol. 2.2, No. 6, pp 875-883, 1996
• Control-oriented modeling of two-phase flow and input/output structures for boundary control
• Proceedings ol the 28lh Conference on Decision and Control
• Dynamics, load balancing, and modal control of piezoelectric tube J. R. van Hulzena,
• Order and Structural Dependence Selection of LPV-ARX Models Using a Nonnegative Garrote Approach
• LPV Identification of High Performance Positioning Devices Roland Toth, Marc van de Wal, Peter S. C. Heuberger and Paul M. J. Van den Hof
• Optimal experiment design for hypothesis testing applied to functional magnetic
• Towards Integrated Design of a Robust Feedback Controller and Topography
• Dynamics and Modal Control of Piezoelectric Tube Actuators
• Automatica 47 (2011) 16261637 Contents lists available at ScienceDirect
• Fast Model Based Approximation of the Closed-loop Performance Limits of Gas/Liquid Inline Separators for Accelerated Design
• Discretization of Linear Fractional Representations of LPV systems R. Toth, M. Lovera, P. S. C. Heuberger and P. M. J. Van den Hof
• Published in IET Control Theory and Applications Received on 14th September 2009
• Parameter identification in large-scale models for oil and gas production
• Boundary Control of Two-Phase Fluid Flow Using the Laplace-Space Snezana Djordjevic, Okko H. Bosgra, and Paul M.J. Van den Hof
• Effect of model structure and signal-to-noise ratio on finite-time uncertainty bounding in prediction error identification
• Iterative Learning Control of Supersaturation in Batch Cooling Crystallization
• IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 56, NO. 11, NOVEMBER 2011 2499 The Behavioral Approach to Linear
• Optimal Control For Power-Off Landing Of A Small-Scale Helicopter A Pseudospectral Approach
• Dynamic network structure identification with prediction error methods -basic
• Trade-off between the control bandwidth and the measurement accuracy in Atomic Force Microscopy
• DESIGNING A KALMAN FILTER WHEN NO NOISE COVARIANCE INFORMATION IS
• A Unified Experiment Design Framework for Detection and Identification in Closed-loop Performance Diagnosis
• Proceedings of the 38" Conference on Decision & Control
• Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach
• MODEL PREDICTIVE CONTROL WITH GENERALIZED INPUT PARAMETRIZATION
• OPTIMAL POLE SELECTION FOR LPV SYSTEM IDENTIFICATION WITH OBFS, A
• proceedings of the 35th Conference on Decision snd Control
• Experiment Design for Robust Control: Why Do More Work Than Is Needed?
• Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing
• NEW OPTIMIZATION-BASED APPROACH TO CHEMICAL REACTOR SYNTHESIS TOWARDS THE FULL INTEGRATION OF REACTOR
• Prooeadings of the 35th Conference on Decision and Control
• Informative Data and Identifiability in LPV-ARX Prediction-Error Identification
• A Two-Level Strategy to Realize Life-Cycle Production Optimization in an Operational Setting
• Batch-to-batch Strategies for Cooling Crystallization Marco Forgione, Ali Mesbah, Xavier Bombois and Paul M.J. Van den Hof
• Discrete time LPV I/O and State Space Representations, Differences of Behavior and Pitfalls of Interpolation
• DownloadedBy:[UTUniversityofTechnologyDelft]At:20:2227September2007 International Journal of Control
• Likelihood Based Uncertainty Bounding in Prediction Error Identification using ARX models: A Simulation Study
• A general transform theory of rational orthonormal basis function expansions
• LEAST DISTURBING CLOSED-LOOP IDENTIFICATION EXPERIMENT FOR
• Bang-bang control and singular arcs in reservoir flooding M.J. Zandvliet a,, O.H. Bosgra a
• Wavelets and variance reduction in non-parametric transfer function estimation.
• 1. Introduction Consider the discrete time system
• Identification in Dynamic Networks with Known Interconnection Paul M.J. Van den Hof, Arne G. Dankers, Peter S.C. Heuberger and Xavier Bombois
• CURRICULUM VITAE Paul M.J. Van den Hof
• A REFINED IV METHOD FOR CLOSED-LOOP SYSTEM IDENTIFICATION
• Indirect Force measurement of Micromilling with an Active Magnetic Bearing spindle
• Closed-loop identification of uncertainty models for robust control design: a set mqnbership approach
• Dynamic Network Identification Using the Direct Prediction-Error Arne Dankers, Paul M.J. Van den Hof, Peter S.C. Heuberger and Xavier Bombois
• Proceedings of the 3Sm Conference on Decision & Control
• Recent developments in model-based optimization and control of subsurface flow
• Closed-loop Performance Diagnosis Using Prediction Error Identification
• Proceedings of the American Control Conference Arlington, VA June 25-27, 2001
• List of Abbreviations and Symbols. . . . . . . . . . . . . . . . . . . . . . . . . . . . . i List of Contributors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i