Soft computing in modelbased predictive control footnotemark

The application of fuzzy reasoning techniques and neural network structures to model-based predictive control (MPC) is studied. First, basic structures of MPC algorithms are reviewed. Then, applications of fuzzy systems of the Takagi-Sugeno type in explicit and numerical nonlinear MPC algorithms are presented. Next, many techniques using neural network modeling to improve structural or computational properties of MPC algorithms are presented and discussed, from a neural network model of a process in standard MPC structures to modeling parts or entire MPC controllers with neural networks. Finally, a simulation example and conclusions are given.

[1]  Jean-Pierre Vila,et al.  Predictive neuro-control of uncertain systems: design and use of a neuro-optimizer , 2003, Autom..

[2]  C. R. Cutler,et al.  Dynamic matrix control¿A computer control algorithm , 1979 .

[3]  Michael A. Henson,et al.  Nonlinear model predictive control: current status and future directions , 1998 .

[4]  Stephen J. Wright,et al.  Nonlinear Predictive Control and Moving Horizon Estimation — An Introductory Overview , 1999 .

[5]  Piotr Tatjewski,et al.  Iterative Algorithms For Multilayer Optimizing Control , 2005 .

[6]  John Anthony Rossiter.  Model-Based Predictive Control , 2003 .

[7]  Niels Kjølstad Poulsen,et al.  Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner’s Handbook , 2000 .

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

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

[10]  S. Daley,et al.  Output-model-based predictive control of unstable combustion systems using neural networks , 1999 .

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

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

[13]  John R. Beaumont,et al.  Control and Coordination in Hierarchical Systems , 1981 .

[14]  Piotr Tatjewski,et al.  Stability analysis of nonlinear control systems with unconstrained fuzzy predictive controllers , 2002 .

[15]  H. B. Verbruggen,et al.  Predictive control of nonlinear systems based on fuzzy and neural models , 1999, 1999 European Control Conference (ECC).

[16]  P. Wach,et al.  Neural predictive controller for insulin delivery using the subcutaneous route , 1998, IEEE Transactions on Biomedical Engineering.

[17]  Tor Arne Johansen,et al.  Approximate explicit receding horizon control of constrained nonlinear systems , 2004, Autom..

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

[19]  Thomas Parisini,et al.  Nonlinear stabilization by receding-horizon neural regulators , 1998 .

[20]  Eduardo F. Camacho,et al.  Constrained Model Predictive Control , 2007 .

[21]  Feng Wan,et al.  Structured neural networks for constrained model predictive control , 2001, Autom..

[22]  Dingli Yu,et al.  Implementation of neural network predictive control to a multivariable chemical reactor , 2003 .

[23]  Mokhtar S. Bazaraa,et al.  Nonlinear Programming: Theory and Algorithms , 1993 .

[24]  D. Mayne,et al.  Robust receding horizon control of constrained nonlinear systems , 1993, IEEE Trans. Autom. Control..

[25]  E. Camacho,et al.  Generalized Predictive Control , 2007 .

[26]  Graham C. Goodwin,et al.  A neural approximation to the explicit solution of constrained linear MPC , 2003, 2003 European Control Conference (ECC).

[27]  Kaddour Najim,et al.  Constrained long-range predictive control based on artificial neural networks , 1997, Int. J. Syst. Sci..

[28]  Ton J.J. van den Boom,et al.  Design of an analytic constrained predictive controller using neural networks , 2001 .

[29]  Thomas Parisini,et al.  A receding-horizon regulator for nonlinear systems and a neural approximation , 1995, Autom..

[30]  S. Joe Qin,et al.  A survey of industrial model predictive control technology , 2003 .

[31]  Hans H. Eder.  MBPC benefits and key success factors , 1999, 1999 European Control Conference (ECC).

[32]  Eduardo F. Camacho,et al.  Mobile robot navigation in a partially structured static environment, using neural predictive control , 1996 .

[33]  Thomas Parisini,et al.  Stable hybrid control based on discrete-event automata and receding-horizon neural regulators , 2001, Autom..

[34]  Stephen Piche,et al.  Nonlinear model predictive control using neural networks , 2000 .

[35]  Phillip D. Schnelle,et al.  Model predictive control of an industrial packed bed reactor using neural networks , 1995 .

[36]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .