Identification test design for multivariable model-based control: An industrial perspective

[1]  R. K. Wood,et al.  Terminal composition control of a binary distillation column , 1973 .

[2]  Raman K. Mehra,et al.  Optimal input signals for parameter estimation in dynamic systems--Survey and new results , 1974 .

[3]  Ts Ng,et al.  On maximal accuracy estimation with output power constraints , 1977 .

[4]  Lennart Ljung,et al.  Identification of processes in closed loop - identifiability and accuracy aspects , 1977, Autom..

[5]  Tung-Sang Ng,et al.  Optimal experiment design for linear systems with input-output constraints , 1977, Autom..

[6]  J. S. Hunter,et al.  Statistics for experimenters : an introduction to design, data analysis, and model building , 1979 .

[7]  W. Larimore.  System Identification, Reduced-Order Filtering and Modeling via Canonical Variate Analysis , 1983, 1983 American Control Conference.

[8]  Carlos E. Garcia,et al.  Internal model control. 2. Design procedure for multivariable systems , 1985 .

[9]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[10]  Lennart Ljung,et al.  Optimal experiment designs with respect to the intended model application , 1986, Autom..

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

[12]  Sigurd Skogestad,et al.  Robust control of ill-conditioned plants: high-purity distillation , 1988 .

[13]  Petre Stoica,et al.  Decentralized Control , 2018, The Control Systems Handbook.

[14]  Wallace E. Larimore,et al.  Canonical variate analysis in identification, filtering, and adaptive control , 1990, 29th IEEE Conference on Decision and Control.

[15]  Herbert J. A. F. Tulleken,et al.  Generalized binary noise test-signal concept for improved identification-experiment design , 1990, Autom..

[16]  Henrik Weisberg Andersen,et al.  Evaluating estimation of gain directionality: Part 2: A case study of binary distillation , 1992 .

[17]  F. Pukelsheim.  Optimal Design of Experiments , 1993 .

[18]  J. Macgregor,et al.  Design of identification experiments for robust control. A geometric approach for bivariate processes , 1993 .

[19]  Bart De Moor,et al.  N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems , 1994, Autom..

[20]  John F. MacGregor,et al.  Identification for robust multivariable control: The design of experiments , 1994, Autom..

[21]  Bart De Moor,et al.  A unifying theorem for three subspace system identification algorithms , 1995, Autom..

[22]  Wei Li,et al.  Control relevant identification of ill-conditioned systems: Estimation of gain directionalyty , 1996 .

[23]  H. Genceli,et al.  New approach to constrained predictive control with simultaneous model identification , 1996 .

[24]  J. Macgregor,et al.  Identification of finite impulse response models : Methods and robustness issues , 1996 .

[25]  Håkan Hjalmarsson,et al.  For model-based control design, closed-loop identification gives better performance , 1996, Autom..

[26]  Richard D. Braatz,et al.  SVD controllers for H2-, H∞- and μ-optimal control , 1997, Autom..

[27]  M. Nikolaou.  FIR Model Identification: Achieving Parsimony through Kernel Compression with Wavelets , 1998 .

[28]  Michael Nikolaou,et al.  FIR model identification: Parsimony through kernel compression with wavelets , 1998 .

[29]  A. P. Featherstone,et al.  Integrated robust identification and control of large-scale processes , 1998 .

[30]  Yucai Zhu.  Multivariable process identification for mpc: the asymptotic method and its applications , 1998 .

[31]  Steven E. Rigdon,et al.  Model-Oriented Design of Experiments , 1997, Technometrics.

[32]  Lennart Ljung,et al.  Closed-loop identification revisited , 1999, Autom..

[33]  Jos F. Sturm,et al.  A Matlab toolbox for optimization over symmetric cones , 1999 .

[34]  Lennart Ljung,et al.  Some results on optimal experiment design , 2000, Autom..

[35]  Yucai Zhu,et al.  Multivariable System Identification For Process Control , 2001 .

[36]  Alberto Bemporad,et al.  The explicit linear quadratic regulator for constrained systems , 2003, Autom..

[37]  Sirish L. Shah,et al.  Experiment design for MPC relevant identification , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[38]  Michael Nikolaou,et al.  Input design for model order determination in subspace identification , 2003 .

[39]  Sirish L. Shah,et al.  The nature of data pre-filters in MPC relevant identification - open- and closed-loop issues , 2003, Autom..

[40]  Håkan Hjalmarsson,et al.  From experiment design to closed-loop control , 2005, Autom..

[41]  Michel Gevers,et al.  Identification for Control: From the Early Achievements to the Revival of Experiment Design , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[42]  John F. MacGregor,et al.  Robust multi-variable identification: Optimal experimental design with constraints , 2006 .

[43]  Yucai Zhu,et al.  Simple control-relevant identification test methods for a class of ill-conditioned processes , 2006 .

[44]  Si-Zhao Joe Qin,et al.  An overview of subspace identification , 2006, Comput. Chem. Eng..

[45]  C. Georgakis,et al.  Steady state optimal test signal design for multivariable model based control , 2006 .

[46]  Graham C. Goodwin,et al.  Choosing Between Open- and Closed-Loop Experiments in Linear System Identification , 2007, IEEE Transactions on Automatic Control.

[47]  Charles Q. Zhan,et al.  A practical global multi-stage method for fully automated closed-loop identification of industrial processes , 2007 .

[48]  Sandro Macchietto,et al.  Model-Based Design of Parallel Experiments , 2007 .

[49]  Roland Hildebrand,et al.  Identification for control: Optimal input intended to identify a minimum variance controller , 2007, Autom..

[50]  G. Pannocchia,et al.  Comparison of input signals in subspace identification of multivariable ill-conditioned systems , 2008 .

[51]  Jay H. Lee,et al.  Gray-Box Model Identification of an Integrated Plant with Recycle , 2008 .

[52]  Christos Georgakis,et al.  Dynamic input signal design for the identification of constrained systems , 2008 .

[53]  Michael Nikolaou,et al.  Multivariable system identification for integral controllability , 2009, Autom..

[54]  Michael Nikolaou,et al.  MPC: Current practice and challenges , 2009 .

[55]  O. A. Sotomayor,et al.  Closed-loop model re-identification of processes under MPC with zone control , 2009 .

[56]  Laurent Mevel,et al.  Input design for subspace-based fault detection , 2011, IEEE Conference on Decision and Control and European Control Conference.

[57]  Jun Zhao,et al.  Toward a low cost and high performance MPC: The role of system identification , 2013, Comput. Chem. Eng..