Identification for Predictive Control : A Multiple Model Approach

Predictive control relies on predictions of the future behaviour of the system to be controlled. These predictions are calculated from a model of this system, thus making the model the cornerstone ...

[1]  A. Morse.  Supervisory control of families of linear set-point controllers Part I. Exact matching , 1996, IEEE Trans. Autom. Control..

[2]  L. Ljung,et al.  Design variables for bias distribution in transfer function estimation , 1986, The 23rd IEEE Conference on Decision and Control.

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

[4]  Ronald Soeterboek,et al.  Predictive Control: A Unified Approach , 1992 .

[5]  P. Young,et al.  Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.

[6]  C. R. Cutler,et al.  Dynamic matrix control: an optimal multivariable control algorithm with constraints , 1983 .

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

[8]  James B. Rawlings,et al.  Tutorial overview of model predictive control , 2000 .

[9]  Paul Kabaila,et al.  Estimation based on one step ahead prediction versus estimation based on multi-step ahead prediction , 1981 .

[10]  Visakan Kadirkamanathan,et al.  Predictive control for non-linear systems using neural networks , 1998 .

[11]  Lennart Ljung,et al.  Modeling Of Dynamic Systems , 1994 .

[12]  Michel Gevers,et al.  SPC: Subspace Predictive Control , 1999 .

[13]  Paul M. J. Van den Hof,et al.  Identification and control - Closed-loop issues , 1995, Autom..

[14]  Gabriele Pannocchia,et al.  The Velocity Algorithm LQR: a survey , 2001 .

[15]  Marko Bacic,et al.  Model predictive control , 2003 .

[16]  Jay H. Lee,et al.  Model predictive control: past, present and future , 1999 .

[17]  Paul M. Frank,et al.  Advances in control : highlights of ECC '99 , 1999 .

[18]  Sirish L. Shah,et al.  Multiple Prediction Models for Long Range Predictive Control , 1999 .

[19]  David W. Clarke,et al.  Generalized predictive control - Part I. The basic algorithm , 1987, Autom..

[20]  David W. Clarke,et al.  Generalized Predictive Control - Part II Extensions and interpretations , 1987, Autom..

[21]  L. Ljung.  Asymptotic variance expressions for identified black-box transfer function models , 1984 .

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

[23]  Jan M. Maciejowski,et al.  Predictive control : with constraints , 2002 .

[24]  Edoardo Mosca,et al.  Performance improvements of self-tuning controllers by multistep horizons: The MUSMAR approach , 1984, Autom..

[25]  David Q. Mayne,et al.  Constrained model predictive control: Stability and optimality , 2000, Autom..

[26]  Lennart Ljung,et al.  Estimation focus in system identification: prefiltering, noise models, and prediction , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

[27]  Harry L. Trentelman,et al.  Essays on control : perspectives in the theory and its applications , 1993 .

[28]  Manfred Morari,et al.  Model predictive control: Theory and practice - A survey , 1989, Autom..

[29]  J. M. Lemos,et al.  Robustness of Multipredictor Adaptive Regulators: MUSMAR , 1988 .

[30]  J. A. Rossiter,et al.  Modelling and implicit modelling for predictive control , 2001 .

[31]  J. Löfberg,et al.  Linear Model Predictive Control Stability and Robustness , 2001 .

[32]  A. Morse.  Supervisory control of families of linear set-point controllers , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

[33]  S. Shah,et al.  A control-relevant identification strategy for GPC , 1992 .

[34]  B. Kouvaritakis,et al.  The benefits of implicit modelling for predictive control , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[35]  S. Shah,et al.  Identification for long-range predictive control , 1991 .

[36]  L. Ljung,et al.  Control theory : multivariable and nonlinear methods , 2000 .

[37]  J. Richalet,et al.  Model predictive heuristic control: Applications to industrial processes , 1978, Autom..

[38]  A. Morse.  Supervisory control of families of linear set-point controllers. 2. Robustness , 1997, IEEE Trans. Autom. Control..