Nonlinear predictive control based on volterra models. Application to a pilot plant;Control predictivo no lineal basado en modelos de volterra. Aplicación a una planta piloto

RIAI - Revista Iberoamericana de Automatica e Informatica Industrial

Volumn 4, Issue 3, 2007, Pages

  Gruber, Jorn K ^a   Bordons, Carlos ^a  

^a UNIVERSIDAD DE SEVILLA   (Spain)

Author keywords

Identification; Nonlinear model based predictive control; Pilot plant; Pseudo random sequence; Volterra series models

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); ITERATIVE METHODS; MODEL PREDICTIVE CONTROL; PILOT PLANTS; PREDICTIVE CONTROL SYSTEMS;

COMPUTATIONAL COSTS; CONTROL ACTIONS; LINEAR MODELING; NONLINEAR EFFECT; NONLINEAR MODEL-BASED PREDICTIVE CONTROLS; NONLINEAR PREDICTIVE CONTROL; PSEUDORANDOM SEQUENCES; VOLTERRA SERIES;

CONTROLLERS;

EID: 34547188156     PISSN: 16977912     EISSN: 16977920     Source Type: Journal    
DOI: 10.1016/s1697-7912(07)70223-6     Document Type: Article

References (16)

1. Boyd, S. y L.O. Chua (1985). Fading Memory and the Problem of Approximating Nonlinear Operators with Volterra Series. IEEE Transactions on Circuits and Systems CAS-32(11), 1150-1161.
2. da edición. Springer-Verlag.
3. Cueli, J.R. (2005). Control Predictivo para Procesos Repetitivos. Tesis doctoral. Universidad de Sevilla.
4. Cueli, J.R. y C. Bordons (2006). Control Predictivo-Iterativo basado en modelo y aplicado a procesos por lotes. Revista Iberoamericana de Automática e Informática Industrial 3(1), 63-74.
5. Cutler, C.R. y B.C. Ramaker (1980). Dynamic Matrix Control - A Computer Control Algorithm. En: Automatic Control Conference. San Francisco.
6. Dorado, F. (2006). Control Predictivo no lineal basado en modelos de Volterra. Tesis doctoral. Universidad de Sevilla.
7. Doyle, F.J., R.K. Pearson y B.A. Ogunnaike (2002). Identification and Control Using Volterra Models. Springer. London.
8. Economou, C.G. (1986). An Operator Theory Approach to Nonlinear Controller Design. Tesis doctoral. California Institute of Technology.
9. Hugo, P., J. Steinbach y F. Stoessel (1988). Calculation of the maximum temperature in stirred tank reactors in case of breakdown of cooling. Chemical Engineering Science 43(8), 2147-2152.
10. Lee, J.H., K.S. Lee y W.C. Kim (2000). Model-based iterative learning control with a quadratic criterion for time-varying linear systems. Automatica 36(5), 641-657.
11. Maner, B.R., F.J. Doyle, B.A. Ogunnaike y R.K. Pearson (1996). Nonlinear Model Predictive Control of a Simulated Multivariable Polymerization Reactor Using Second-order Volterra Models. Automatica 32(9), 1285-1301.
12. Nowak, R.D. y B.D. Van Veen (1994). Random and Pseudorandom Inputs for Volterra Filter Identification. IEEE Transactions on Signal Processing 42(8), 2124-2135.
13. Parker, R.S., D. Heemstra, F.J. Doyle, R.K. Pearson y B.A. Ogunnaike (2001). The identification of nonlinear models for process control using tailored "plant-friendly" input sequences. Journal of Process Control 11(2), 237-250.
14. Ramirez, D.R., D. Limón, J.G. Ortega y E. F. Camacho (1999). Model Based Predictive Control Using Genetic Algorithms. Application to a Pilot Plant. En: European Control Conference. Karlsruhe.
15. Santos, L.O., P.A.F.N.A. Afonso, J.A.A.M. Castro, N.M.C. Oliveira y L.T. Biegler (2001). On-line implementation of nonlinear MPC: an experimental case study. Control Engineering Practice 9(8), 847-857.
16. Szeifert, F., T. Chovan y L. Nagy (1995). Process dynamics and temperature control of fedbatch reactors. Computers & Chemical Engineering 19(1), 447-452.