References and Relevant Literature

There are large number of papers that discuss many different aspects and formulations of MPC. The basic DMC approach is presented by Cutler and Ramaker (1980). An early academic paper analyzing DMC is presented by Marchetti et al. (1983). Garcia et al. (1989) review early theory and applications, while Morari and Lee (1999) summarize recent results and current research topics. The monograph by Camacho (1999) presents a number of techniques but focuses on GPC. The textbook by Maciejowski (2002) includes MATLAB files and a number of application case studies.

Camacho, E.F., and C. Bordons, Model Predictive Control, Springer-Verlag, London (1999).

Clarke, D.W., "Application of Generalized Predictive Control to Industrial Processes," IEEE Control Syst. Mag., April, pp. 49–55 (1988).

Cutler, C.R., and B.L. Ramaker, "Dynamic Matrix Control—A Computer Control Algorithm," in Proc. Joint Automatic Control Conference, San Francisco, CA, Paper WP5-B (1980).

Garcia, C.E., and A.M. Morshedi, "Quadratic Programming Solution of Dynamic Matrix Control (QDMC)," Chem. Eng. Commun., 46, 73–87 (1986).

Garcia, C.E., D.M. Prett, and M. Morari, "Model Predictive Control: Theory and Practice—A Survey," Automatica, 25, 335–348 (1989).

Maciejowski, J.M., Predictive Control: with Constraints, Prentice Hall, Harlow, England (2002).

Marchetti, J.L., D.A. Mellichamp, and D.E. Seborg, "Predictive Control Based on Discrete Convolution Models," Ind. Eng. Chem. Proc. Des. Dev., 22(3), 488–495 (1983).

Morari, M., and J.H. Lee, "Model Predictive Control: Past, Present and Future," Comp. Chem. Eng., 23, 667–682 (1999).

Muske, K., and J.B. Rawlings, "Model Predictive Control with Linear Models," AIChE J., 39(2), 262–287 (1993).

Qin, S.J., and T.A. Badgwell, "An Overview of Industrial Model Predictive Control Technology," Proceedings of the Fifth Conference on Chemical Process Control, AIChE Symp. Ser. 316, Vol. 93, pp. 232–256 (Kantor, J.C., C.E. Garcia, and B. Carnahan, Eds.), (1997).

Richalet, J.A., A. Rault, J.D. Testud, and J. Papon, "Model Predictive Heuristic Control: Applications to Industrial Processes," Automatica, 14, 413–428 (1978).

Shah, S.L., "A Tutorial Introduction to Constrained Long Range Predictive Control," Pulp Pap. Can., 96(4), 57–63 (1995).

A focus on nonlinear systems is presented in the following papers and books.

Allgower, F., T.A. Badgwell, J.S. Qin, J.B. Rawlings, and S.J. Wright, "Nonlinear Predictive Control and Moving Horizon Estimation—An Introductory Overview," Advances in Control: Highlights of ECC '99, Ch. 12, pp. 391–449, (P.M. Frank, Ed.), Springer-Verlag, Berlin/New York (1999).

Bequette, B.W., "Nonlinear Control of Chemical Processes: A Review," Ind. Eng. Chem. Res., 30, 1391–1413 (1991).

Henson, M.A., "Nonlinear Model Predictive Control: Current Status and Future Directions," Comp. Chem. Eng., 23, 187–202 (1998).

Lee, J.H., and N.L. Ricker, "Extended Kalman Filter Based Nonlinear Model Predictive Control," Ind. Eng. Chem. Res., 33(6), 1530–1541 (1994).

Meadows, E.S., and J.B. Rawlings, "Model Predictive Control," in Nonlinear Process Control, pp. 233–310 (M.A. Henson and D.E. Seborg, Eds.), Prentice Hall, Upper Saddle River, NJ (1997).

Sistu, P.B., and B.W. Bequette, "Model Predictive Control of Processes with Input Multiplicities," Chem. Eng. Sci., 50(6), 921–936 (1995).

An application of a multiple model-based MPC approach is discussed in the following paper:

Rao, R., C.C. Palerm, B. Aufderheide, and B.W. Bequette, "Experimental Studies on Automated Regulation of Hemodynamic Variables," IEEE Engineering in Medicine and Biology Magazine, 20(1), 24-38 (Jan/Feb, 2001).