Computation and performance assessment of nonlinear model predictive control

Proceedings of the IEEE Conference on Decision and Control

Volumn 4, Issue , 2002, Pages 4613-4618

  Findeisen, Rolf ^a   Diehl, Moritz ^b   Disli Uslu, Iiknur ^a   Schwarzkopf, Stefan ^a   Allgöwer, Frank ^a   Bock, H Georg ^b   Schlöder, Johannes P ^b   Gilles, Ernst D ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

^b UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

Computational feasibility; Distillation control; Multiple shooting; Nonlinear model predictive control; Performance

Indexed keywords

COMPUTER SIMULATION; DISTILLATION COLUMNS; NONLINEAR CONTROL SYSTEMS; OPTIMIZATION; PERFORMANCE; SYSTEM STABILITY;

DISTILLATION CONTROL; MULTIPLE SHOOTING; NONLINEAR MODEL PREDICTIVE CONTROL;

PREDICTIVE CONTROL SYSTEMS;

EID: 0242584960     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. F. Allgöwer, T.A. Badgwell, J.S. Qin, J.B. Rawlings, and S.J. Wright. Nonlinear predictive control and moving horizon estimation - An introductory overview. In P. M. Frank, editor, Advances in Control, Highlights of ECC'99, pages 391-449. Springer, 1999.
2. R. A. Barlett, A. Wächter, and L. T. Biegler. Active set vs. interior point strategies for model predictive control. In Proc. Amer. Contr. Conf., pages 4229-4233, Chicago, Il, 2000.
3. H.G. Bock, M. Diehl, D. Leineweber, and J. Schlöder. A direct multiple shooting method for realtime optimization of nonlinear DAE processes. In F. Allgöwerand A. Zheng, editors, Nonlinear Predictive Control, Birkhäuser, 2000.
4. H.G. Bock, M. Diehl, J.P. Schlöder, F. Allgöwer, R. Findeisen, and Z. Nagy. Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations. In Proc. Int. Symp. Adv. Control of Chemical Processes, ADCHEM, pages 695-703, Pisa, Italy, 2000.
5. H.G. Bock and K.J. Plitt. A multiple shooting algorithm for direct solution of optimal control problems. In Proc. 9th IFAC World Congress, Budapest, 1984.
6. H. Chen. Stability and Robustness Considerations in Nonlinear Model Predictive Control. Fortschr.-Ber. VDI Reihe 8 Nr. 674. VDI Verlag, Düsseldorf, 1997.
7. H. Chen and F. Allgöwer. A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability. Automatica, 34(10):1205-1218, 1998.
8. G. De Nicolao, L. Magni, and R. Scattolini. Stabilizing nonlinear receding horizon control via a nonquadratic terminal state penalty. In Symposium on Control, Optimization and Supervision, CESA '96 IMACS Multiconference, pages 185-187, Lille, 1996.
9. M. Diehl. Real-Time Optimization for Large Scale Nonlinear Processes, voume 920 Fortschr.-Ber. VDI Reihe 8, Meβ, Steuerungs- und Regelungstechnik. VDI Verlag, Düsseldorf, 2002.
10. M. Diehl, I. Uslu, R. Findeisen, S. Schwarzkopf, F. Allgöwer, H.G. Bock, T. Bürner, E.D. Gilles, A. Kienle, J.P. Schlöder, and E. Stein. Real-time optimization of large scale process models: Nonlinear model predictive control of a high purity distillation column. In M. Groetschel, S.O. Krumke, and J. Rambau, editors, Online Optimization of Large Scale Systems: State of the Art, pages 363-384. Springer, 2001.
11. R. Findeisen and F. Allgöwer. Nonlinear model predictive control for index-one DAE systems. In F. Allgöwer and A. Zheng, editors, Nonlinear Predictive Control, pages 145-162. Birkhäuser, Basel, 1999.
12. R. Findeisen, F. Allgöwer, M. Diehl, H.G. Bock, J.P. Schlöder, and Z. Nagy. Efficient nonlinear model predictive control. In 6th International Conference on Chemical Process Control - CPC VI, pages 454-460, 2000.
13. R. Findeisen, M. Diehl, F. Allgöwer, H.G. Bock, and J.P. Schlöder. Efficient output feedback nonlinear model predictive control. In Proc. Amer. Contr. Conf., pages 4752-4757, Anchorage, AK, 2002.
14. D.Q. Mayne and H. Michalska. Receding horizon control of nonlinear systems. IEEE Trans. Automat. Contr., 35(7):814-824, 1990.
15. D.Q. Mayne, J.B. Rawlings, C.V. Rao, and P.O.M. Scokaert. Constrained model predictive control: stability and optimality. Automatica, 26(6):789-814, 2000.
16. Z. Nagy, R. Findeisen, M. Diehl, F. Allgöwer, H.G. Bock, S. Agachi, J.P. Schlöder, and D. Leinweber. Real-time feasibility of nonlinear predictive control for large scale processes - A case study. In Proc. Amer. Contr. Conf., pages 4249-4254, Chicago, 2000.
17. M. J. Tenny, J. B. Rawlings, and R. Bindlish. Feasible real-time nonlinear model predictive control. In 6th International Conference on Chemical Process Control - CPC VI, AIChE Symposium Series, 2001.