Optimal input design for on-line identification: A coupled observer-MPC approach

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 17, Issue 1 PART 1, 2008, Pages

  Flila, Saida ^a   Dufour, Pascal ^a   Hammouri, Hassan ^a  

^a NONE

Author keywords

Closed loop identification; Input and excitation design; Nonlinear system identification

Indexed keywords

ANALYTICAL SOLUTIONS; CLOSED LOOP IDENTIFICATION; CLOSED-LOOP CONTROL; CONTINUOUS MODELS; CONTROL SOFTWARE; CURING PROCESS; ESTIMATED MODEL; INPUT AND EXCITATION DESIGN; NONLINEAR SYSTEM IDENTIFICATION; ON-LINE IDENTIFICATION; ON-LINE PROCESS; OPTIMAL INPUT DESIGN; OPTIMAL MODEL; PARAMETRIC SENSITIVITY; PROCESS MODEL; SIMPLE MODEL; SIMULATION RESULT; THERMAL PARAMETERS; TIME DOMAIN;

CLOSED LOOP CONTROL SYSTEMS; COMPUTER SOFTWARE; CURING; DESIGN; MATLAB; NONLINEAR SYSTEMS; OPTIMIZATION; PARAMETER ESTIMATION; POWDER COATINGS; POWDERS; PREDICTIVE CONTROL SYSTEMS;

MODEL PREDICTIVE CONTROL;

EID: 79961019502     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20080706-5-KR-1001.1722     Document Type: Conference Paper

References (16)

1. R. Fletcher. Practical methods of optimization. John Wiley and Sons, New York, 1987.
2. N. Couenne G. Bornard and F. Celle. Regularly persistent observers for bilinear systems. In 29th International Conference New trends in Nonlinear Control Theory, Nantes, France, pages 130-140, 1998.
3. M. Gevers. Identification for control: From the early achievements to the revival of experiment design. European Journal of Control, 11:1-18, 2005.
4. H. Hammouri and J. De Leon. Topological properties of observers inputs. In International Conference on Controlled Dynamical Systems, Lyon, France, 1990.
5. G. Jeandel I. Bombard, P. Laurent and J. Lieto. A model of the cure of powder coatings based on surface absorptivities in-situ measurements. In Future Coat Conference, New Orleans, LA, USA, page 26, 2006.
6. H. Hammouri J.P. Gauthier and S. Othman. A simple observer for nonlinear systems: applications to bioreactors. IEEE Transactions on Automatic Control, 37:875-880, 1992.
7. I. Bombard K. Abid, P. Dufour and P. Laurent. Model predictive control of a powder coating process: an application of the MPC@CB software. In IEEE Chinese Control Conference, Zhangjiajie, China, volume 2, pages 630-634, 2007.
8. K. J. Keesman and J. D. Stigter. Optimal parametric sensitivity control for the estimation of kinetic parameters in bioreactors. International Journal of Thermal Sciences, 179:95-111, 2002.
9. R. V. Gamkrelidze L. S. Pontryagin, V. G. Boltyanskii and E. F. Mishchenko. The mathematical theory of optimal processes. Gordon and Breach, 1986.
10. P. Laurent L. Vechot, I. Bombard and J. Lieto. Experimental and modelling study of the radiative curing of a polyester-based coating. International Journal of Thermal Sciences, 45:86-93, 2006.
11. L. Ljung. System identification: Theory for the user. Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1999.
12. P. Dufour N. Daraoui and H. Hammouri. Model predictive control of the primary drying stage of a freeze drying of solutions in vials: an application of the MPC@CB software (part 1). In 5th Asia-Pacific Drying Conference, HongKong, China, volume 2, pages 883-888, 2007.
13. D. Blanc P. Dufour, Y. Toure and P. Laurent. On nonlinear distributed parameter model predictive control strategy: on-line calculation time reduction and application to an experimental drying process. Computers and Chemical Engineering, 27:1533-1542, 2003.
14. J. S. Qin and T. A. Badgwell. A survey of industrial model predictive control technology. Control Engineering Practice, 11:733-764, 2003. (Pubitemid 36906334)
15. J. D. Stigter and K. J. Keesman. Optimal parametric sensitivity control of a fed batch reactor. In European Control Conference, Porto, Portugal, pages 2841-2844, 2001.
16. J. D. Stigter and K. J. Keesman. Optimal parametric sensitivity control of a fed-batch reactor. Automatica, 8:1459-1464, 2004.