Integration of real-time optimization and model predictive control

Journal of Process Control

Volumn 20, Issue 2, 2010, Pages 125-133

  Adetola, V ^a   Guay, M ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

Adaptive control; Model predictive control; Real time optimization

Indexed keywords

ADAPTIVE CONTROL; CONSTRAINED SYSTEMS; CONTROLLER DESIGNS; DESIGN TECHNIQUE; ECONOMIC FUNCTIONS; EFFECT OF PARAMETERS; OPTIMAL OPERATING POINT; PARAMETERIZED; PREDICTIVE CONTROL; REAL-TIME OPTIMIZATION; ROBUST MODELS; SIMULATION EXAMPLE; TIME VARYING; UNCERTAIN NONLINEAR SYSTEMS; UNKNOWN PARAMETERS;

ADAPTIVE CONTROL SYSTEMS; CONTROLLERS; NONLINEAR SYSTEMS; OPTIMIZATION; PARAMETER ESTIMATION; PREDICTIVE CONTROL SYSTEMS; ROBUST CONTROL;

MODEL PREDICTIVE CONTROL;

EID: 73649090353     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2009.09.001     Document Type: Article

References (26)

1. Adetola V., DeHaan D., and Guay M. Adaptive model predictive control for constrained nonlinear systems. Systems and Control Letters 58 5 (2009) 320-326
2. Adetola V., and Guay M. Nonlinear sampled-data output feedback receding horizon control. Journal of Process Control 15 (2005) 469-480
3. Adetola V., and Guay M. Finite-time parameter estimation in adaptive control of nonlinear systems. IEEE Transactions on Automatic Control 53 3 (2008) 807-811 April
4. V. Adetola, M. Guay, Adaptive robust MPC of nonlinear systems with exogenous disturbances, in: Proceedings of the IFAC ADCHEM, Istanbul, Turkey, 2009.
5. Adetola V.A., and Guay M. Adaptive output feedback extremum seeking receding horizon control of linear systems. Journal of Process Control 16 5 (2006) 521-533
6. Basak K., Abhilash K.S., Ganguly S., and Saraf D.N. Online optimization of a crude distillation unit with constraints on product properties. Industrial Engineering Chemistry Research 41 (2002) 1557-1568
7. Bertsekas D.P. Nonlinear Programming (1995), Athena Scientific, Belmont, MA
8. de Gouvéa M.T., and Odloak D. One-layer real time optimization of lpg production in the fcc unit: procedure advantages and disadvantages. Computers & Chemical Engineering 22 (1998) S191-S198
9. D. DeHaan, V. Adetola, M. Guay, Adaptive robust MPC: an eye towards computational simplicity, in: Proceedings of the IFAC Symposium on Nonlinear Control systems, South Africa, 2007.
10. DeHaan D., and Guay M. Extremum seeking control of state constrained nonlinear systems. Automatica 41 9 (2005) 1567-1574
11. DeHaan D., and Guay M. A real-time framework for model-predictive control of continuous-time nonlinear systems. IEEE Transactions on Automatic Control 52 11 (2007) 2047-2057
12. Diehl M., Findeisen R., Allgöwer F., Bock H.G., and Schlöder J.P. Nominal stability of the real-time iteration scheme for nonlinear model predictive control. IEE PROCEEDINGS - Control Theory and Applications 152 3 (2005) 296-308 May
13. R. Findeisen, F. Allgower, Robustness properties and output feedback of optimization based sampled-data open-loop feedback, in: 44th IEEE Conference on Decision and Control and European Control Conference ECC 2005, Omnipress, 2005, p. 12.
14. R. Findeisen, H. Chen, F. Allgöwer, Nonlinear predictive control for setpoint families, in: American Control Conference, 2000, pp. 260-264.
15. Forbes J.F., and Marlin T.E. Design cost: a systematic approach to technology selection for model-based real-time optimization. Computers and Chemical Engineering 20 (1996) 717-734
16. L. Imsland, R. Findeisen, E. Bullinger, F. Allgöwer, B.A. Foss, On output feedback nonlinear model predictive control using high gain observers for a class of systems, in: 6th IFAC Symposium on Dynamic and Control of Process Systems, DYCOPS-6, Jejudo, Korea, 2001, pp. 91-96.
17. J. Kadam, W. Marquardt, Sensitivity-based solution updates in closed-loop dynamic optimization, in: DYCOPS, vol. 7, Cambridge, USA, 2004.
18. Kadam J., and Marquardt W. Integration of Economical Optimization and Control for Intentionally Transient Process Operation. Assessment and Future Directions of Nonlinear Model Predictive Control vol. 358 (2007), Springer, Berlin/Heidelberg 419-434
19. J. Kadam, W. Marquardt, M. Schlegel, T. Backx, O.H. Bosgra, P.-J. Brouwer, G. Dünnebier, D. van Hessem, A. Tiagounov, S. de Wolf, Towards integrated dynamic real-time optimization and control of industrial processes, in: I.E. Grossmann, C.M. McDonald (Eds.), FOCAPO 2003, Proceedings of the Conference, 2003, pp. 593-596.
20. J. Kadam, M. Schlegel, W. Marquardt, R.L. Tousain, D.H.v. Hessem, J.v.d. Berg, O.H. Bosgra, A two-level strategy of integrated dynamic optimization and control of industrial processes - a case study, in: J. Grievink, J.v. Schijndel (Eds.), European Symposium on Computer Aided Process Engineering, vol. 12, 2002, pp. 511-516.
21. Lauks U.E., Vasbinder R.J., Valkenburg P.J., and van Leeuwen C. On-line optimization of an ethylene plant. Computers & Chemical Engineering 16 (1992) S213-S220
22. Magni L. On robust tracking with nonlinear model predictive control. International Journal of Control 75 6 (2002) 399-407
23. Ohtsuka T. A continuation/gmres method for fast computation of nonlinear receding horizon control. Automatica 40 4 (2004) 563-574
24. Sepulchre R., Jankovic M., and Kokotovic P. Constructive Nonlinear Control (1997), Springer-Verlag
25. Zanin A.C., de Gouvéa M.T., and Odloak D. Integrating real-time optimization into the model predictive controller of the fcc system. Control Engineering Practice 10 (2002) 819-831
26. X. Zhu, W. Hong, S. Wang, Implementation of advanced control for a heat-integrated distillation column system, in: Industrial Electronics Society, 2004, IECON 2004, 30th Annual Conference of IEEE, vol. 3, 2-6 November 2004, pp. 2006-2011.