A review on data-driven linear parameter-varying modeling approaches: A high-purity distillation column case study

[1]  Kendall E. Atkinson.  An introduction to numerical analysis , 1978 .

[2]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[3]  M. Morari,et al.  LV-Control of a high-purity distillation column , 1987 .

[4]  Lennart Ljung,et al.  System identification toolbox for use with MATLAB , 1988 .

[5]  W. Luyben,et al.  Control of distillation columns with low relative volatilities , 1989 .

[6]  Sigurd Skogestad,et al.  Modelling and Identification for Robust Control of Ill-Conditioned Plants - a Distillation Case Study , 1991, 1991 American Control Conference.

[7]  R. R. Rhinehart,et al.  Experimental Demonstration of Nonlinear Model-Based Control of a Nonideal Binary Distillation Column , 1992, 1992 American Control Conference.

[8]  M. Barolo.  Nonlinear Model-Based Startup and Operation Control of a Distillation Column : An Experimental Study , 1994 .

[9]  A. Packard.  Gain scheduling via linear fractional transformations , 1994 .

[10]  J. B. Riggs,et al.  A Comparison of Advanced Distillation Control Techniques for a Propylene/Propane Splitter , 1995 .

[11]  I-Lung Chien,et al.  Nonlinear identification and control of a high-purity distillation column: a case study , 1995 .

[12]  Tomás Oliveira e Silva,et al.  A N-Width Result for the Generalized Orthonormal Basis Function Model , 1996 .

[13]  B. Ninness,et al.  A unifying construction of orthonormal bases for system identification , 1997, IEEE Trans. Autom. Control..

[14]  J. Doyle,et al.  Essentials of Robust Control , 1997 .

[15]  J. Suykens,et al.  Recurrent least squares support vector machines , 2000 .

[16]  Wilson J. Rugh,et al.  Research on gain scheduling , 2000, Autom..

[17]  Johannes P. Schlöder,et al.  Real-Time Optimization for Large Scale Processes: Nonlinear Model Predictive Control of a High Purity Distillation Column , 2001 .

[18]  Johan A. K. Suykens,et al.  Least Squares Support Vector Machines , 2002 .

[19]  Bassam Bamieh,et al.  Identification of linear parameter varying models , 2002 .

[20]  Prodromos Daoutidis,et al.  Nonlinear model reduction and control for high-purity distillation columns , 2003 .

[21]  R. van de Molengraft,et al.  Experimental modelling and LPV control of a motion system , 2003, Proceedings of the 2003 American Control Conference, 2003..

[22]  Bassam Bamieh,et al.  LPV model identification for gain scheduling control: An application to rotating stall and surge control problem , 2006 .

[23]  Tyrone L. Vincent,et al.  Nonparametric methods for the identification of linear parameter varying systems , 2008, 2008 IEEE International Conference on Computer-Aided Control Systems.

[24]  Zuhua Xu,et al.  A method of LPV model identification for control , 2008 .

[25]  Manfred Morari,et al.  Explicit model predictive control for linear parameter-varying systems , 2008, 2008 47th IEEE Conference on Decision and Control.

[26]  Marco Lovera,et al.  LPV/LFT modelling and identification: overview, synergies and a case study , 2008, 2008 IEEE International Conference on Computer-Aided Control Systems.

[27]  Michel Verhaegen,et al.  Subspace identification of Bilinear and LPV systems for open- and closed-loop data , 2009, Autom..

[28]  Roland Tóth,et al.  Asymptotically optimal orthonormal basis functions for LPV system identification , 2009, Autom..

[29]  Herbert Werner,et al.  Linear parameter varying PID controller design for charge control of a spark-ignited engine , 2009 .

[30]  Yucai Zhu,et al.  LPV Model Identification Using Blended Linear Models with Given Weightings , 2009 .

[31]  Xavier Bombois,et al.  Optimal experimental design for LPV identification using a local approach , 2009 .

[32]  Psc Peter Heuberger,et al.  An LPV identification Framework Based on Orthonormal Basis Functions , 2009 .

[33]  Johan A. K. Suykens,et al.  Linear parametric noise models for Least Squares Support Vector Machines , 2010, 49th IEEE Conference on Decision and Control (CDC).

[34]  Roland Toth,et al.  Modeling and Identification of Linear Parameter-Varying Systems , 2010 .

[35]  van den Pmj Paul Hof,et al.  Identification of nonlinear process models in an LPV framework , 2010 .

[36]  Hugues Garnier,et al.  Refined instrumental variable methods for identification of LPV Box-Jenkins models , 2010, Autom..

[37]  Wei Xing Zheng,et al.  Model structure learning: A support vector machine approach for LPV linear-regression models , 2011, IEEE Conference on Decision and Control and European Control Conference.

[38]  Biao Huang,et al.  Multiple model LPV approach to nonlinear process identification with EM algorithm , 2011 .

[39]  B. Ninness,et al.  System identification of linear parameter varying state-space models , 2011 .

[40]  Edouard Laroche,et al.  Identification of a flexible robot manipulator using a linear parameter-varying descriptor state-space structure , 2011, IEEE Conference on Decision and Control and European Control Conference.

[41]  Wei Xing Zheng,et al.  Introducing instrumental variables in the LS-SVM based identification framework , 2011, IEEE Conference on Decision and Control and European Control Conference.

[42]  R. Tóth,et al.  Nonparametric identification of LPV models under general noise conditions : an LS-SVM based approach , 2012 .

[43]  Yucai Zhu,et al.  Identification of multi-model LPV models with two scheduling variables , 2012 .

[44]  Paul M.J. Van den Hof,et al.  Prediction-Error Identification of LPV Systems: Present and Beyond , 2012 .

[45]  Xavier Bombois,et al.  Design of least costly identification experiments. The main philosophy accompanied by illustrative examples , 2012 .

[46]  Seyed Mahdi Hashemi,et al.  Black-box versus grey-box LPV identification to control a mechanical system , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[47]  Yucai Zhu,et al.  Some Study on the Identification of Multi-Model LPV Models with Two Scheduling Variables , 2012 .

[48]  Hongye Su,et al.  Prediction error method for identification of LPV models , 2012 .

[49]  Jan Swevers,et al.  Interpolated Modeling of LPV Systems Based on Observability and Controllability , 2012 .

[50]  Håkan Hjalmarsson,et al.  Model predictive control with integrated experiment design for output error systems , 2013, 2013 European Control Conference (ECC).

[51]  Ali Mesbah,et al.  Perspectives of data-driven LPV modeling of high-purity distillation columns , 2013, 2013 European Control Conference (ECC).