[Allgöwer, F., Badgwell, T., Qin, J., Rawlings, J. and Wright, S. (1999). Nonlinear predictive control and moving horizon estimation—An introductory overview, in P. Frank (Ed.), Advances in Control—Highlights of ECC'99, Springer, London, Chapter 12.10.1007/978-1-4471-0853-5_19]Search in Google Scholar
[Bemporad, A. (1998). Reference governor for constrained nonlinear systems, IEEE Transactions on Automatic Control 43(3): 415-419.10.1109/9.661611]Search in Google Scholar
[Bemporad, A. and Morari, M. (1999). Robust model predictive control: A survey, in A. Garulli, A. Tesi and A. Vicino (Eds.), Robustness in Identification and Control, Lecture Notes in Control and Information Sciences, Vol. 245, Springer, New York, NY.10.1007/BFb0109870]Search in Google Scholar
[Bemporad, A., Morari, M., Dua, V. and Pistikopoulos, E. (2002). The explicit linear-quadratic regulator for constrained systems, Automatica 38(1): 3-20.10.1016/S0005-1098(01)00174-1]Search in Google Scholar
[Blevins, T. L., McMillan, G. K., Wojsznis, W. K. and Brown, M. W. (2003). Advanced Control Unleashed, ISA Society, Research Triangle Park, NC.]Search in Google Scholar
[Brdys, M. A. and Chang, T. (2001). Robust model predictive control of chlorine residuals in water systems based on a state space modeling, in B. Ulanicki, B. Coulbeck and J. Rance (Eds.), Water Software Systems: Theory and Applications, Research Studies Press, Baldock.]Search in Google Scholar
[Brdys, M. and Tatjewski, P. (2005). Iterative Algorithms for Multilayer Optimizing Control, Imperial College Press/World Scientific, London/Singapore.10.1142/p372]Search in Google Scholar
[Camacho, E. and Bordons, C. (1999). Model Predictive Control, Springer, London.10.1007/978-1-4471-3398-8]Search in Google Scholar
[Deinrych, P., Szumski, A., Brdys, M. A., Grochowski, M. and Szczygielski, P. (2007). Softly switched robustly feasible mpc for constrained linear systems under set bounded uncertainty, Proceedings of the 11th IFAC/IFORS/IMACS/ IFIP Symposium on Large Scale Complex Systems Theory and Applications, Gdańsk, Poland, (on CD-ROM).10.3182/20070723-3-PL-2917.00030]Search in Google Scholar
[Diehl, M. and Bjornberg, J. (2004). Robust dynamic programming for minmax model predictive control of constrained uncertain systems, IEEE Transactions on Automatic Control 49(12): 2253-2257.10.1109/TAC.2004.838489]Search in Google Scholar
[DoyleIII, F. J., Ogunnaike, B. A. and Pearson, R. K. (1995). Non-linear model-based control using second-order Volterra models, Automatica 31(5): 669-714.10.1016/0005-1098(94)00150-H]Search in Google Scholar
[Feng, G. and Lozano, R. (1999). Adaptive Control Systems, Newness, Oxford.]Search in Google Scholar
[Findeisen, W. (1997). Control Structures for Complex Processes, Warsaw University of Technology Press, Warsaw, (in Polish).]Search in Google Scholar
[Findeisen, W., Bailey, F. N., Brdyś, M., Malinowski, K., Tatjewski, P. and Woźniak, A. (1980). Control and Coordination in Hierarchical Systems, J. Wiley & Sons, Chichester/New York, NY/Brisbane/Toronto.]Search in Google Scholar
[Goodwin, G. C., Graebe, S. F. and Salgado, M. E. (2001). Control System Design, Prentice Hall, Upper Saddle River, NJ.]Search in Google Scholar
[Haseltine, E. L. and Rawlings, J. B. (2005). Critical evaluation of extended Kalman filtering and moving horizon estimation, Industrial and Engineering Chemistry Research 44(5): 2451-2460.10.1021/ie034308l]Search in Google Scholar
[Jeong, S. C. and Park, P. (2002). Output-feedback robust adaptive receding horizon controller design, Proceedings of the American Control Conference 2002, Anchorage, AK, USA.]Search in Google Scholar
[Kassmann, D. E., Badgwell, T. and Hawkins, R. (2000). Robust steady-state target calculation for model predictive control, AIChE Journal 46(5): 1007-1024.10.1002/aic.690460513]Search in Google Scholar
[Kerrigan, E. and Maciejowski, J. (2004). Feedback minmax model predictive control using a single linear program: Robust stability and the explicit solution, International Journal of Robust and Nonlinear Control 14(4): 395-413.10.1002/rnc.889]Search in Google Scholar
[Ławryńczuk, M., Marusak, P. and Tatjewski, P. (2007). Multilevel and integrated structures for predictive control and economic optimisation, Proceedings of the 11th IFAC/IFORS/IMACS/ IFIP Symposium on Large Scale Complex Systems Theory and Applications, Gdańsk, Poland, (on CD-ROM).10.3182/20070723-3-PL-2917.00032]Search in Google Scholar
[Ławryńczuk, M., Marusak, P. and Tatjewski, P. (2008). Cooperation of model predictive control with steady-state economic optimisation, Control and Cybernetics 37(1): 133-158.]Search in Google Scholar
[Ławryńczuk, M., Marusak, P. and Tatjewski, P. (2009a). Integrated predictive optimizer and constraint supervisor for processes with basic feedback control, Proceedings of the European Control Conference 2009, Budapest, Hungary, pp. 3359-3364.]Search in Google Scholar
[Ławryńczuk, M., Marusak, P. and Tatjewski, P. (2009b). On cooperation of set-point optimisation and predictive control based on hammerstein models, Proceedings of the 7th Workshop on Advanced Control and Diagnosis ACD2009, Zielona Góra, Poland, (on CD-ROM).]Search in Google Scholar
[Ławryńczuk, M. and Tatjewski, P. (2010). Nonlinear predictive control based on neural multi-models, International Journal of Applied Mathematics and Computer Science 20(1): 7-21, DOI: 10.2478/v10006-010-001-y.]Search in Google Scholar
[Lee, J. and Yu, Z. (1997). Worst-case formulations of model predictive control for systems with bounded parameters, Automatica 33(5): 763-781.10.1016/S0005-1098(96)00255-5]Search in Google Scholar
[Lefkowitz, I. (1966). Multilevel approach applied to control system design, Journal of Basic Engineering, Transactions of ASME 88(Ser. B2): 392-398.]Search in Google Scholar
[Maciejowski, J. (2002). Predictive Control, Prentice Hall, Harlow.]Search in Google Scholar
[Marlin, T. E. (1995). Process Control, McGraw-Hill, New York, NY.]Search in Google Scholar
[Marusak, P. and Tatjewski, P. (2008). Actuator fault tolerance in control systems with predictive constrained set-point optimizers, International Journal of Applied Mathematics and Computer Science 18(4): 539-551, DOI: 10.2478/v10006-008-0047-2.10.2478/v10006-008-0047-2]Search in Google Scholar
[Marusak, P. and Tatjewski, P. (2009). Effective dual-mode fuzzy dmc algorithms with on-line quadratic optimization and guaranteed stability, International Journal of Applied Mathematics and Computer Science 19(1): 127-141, DOI: 10.2478/v10006/009-0012-8.]Search in Google Scholar
[Mayne, D., Rawlings, J., Rao, C. and Scokaert, P. (2000). Constrained model predictive control: Stability and optimality, Automatica 36(6): 789-814.10.1016/S0005-1098(99)00214-9]Search in Google Scholar
[Mesarović, M. D., Macko, D. and Takahara, Y. (1970). Theory of Hierarchical, Multilevel Systems, Academic Press, New York, NY.]Search in Google Scholar
[Qin, S. and Badgwell, T. (2003). A survey of industrial model predictive control technology, Control Engineering Practice 11(7): 733-764.10.1016/S0967-0661(02)00186-7]Search in Google Scholar
[Rao, V., Rawlings, J. B. and Mayne, D. Q. (2003). Constrained state estimation for nonlinear discrete-time systems: Stability and moving horiozon approximations, IEEE Transactions on Automatic Control 48(2): 246-258.10.1109/TAC.2002.808470]Search in Google Scholar
[Roberts, P. (1979). An algorithm for steady-state optimization and parameter estimation, International Journal of Systems Science 10: 719-734.10.1080/00207727908941614]Search in Google Scholar
[Rossiter, J. (2003). Model-Based Predictive Control, CRC Press, Boca Raton, FL/London/New York, NY/Washington, DC.]Search in Google Scholar
[Saez, D., Cipriano, A. and Ordys, A. W. (2002). Optimisation of Industrial Processes at Supervisory Level: Application to Control of Thermal Power Plants, Springer, London.10.1007/978-1-4471-0113-0]Search in Google Scholar
[Scokaert, P. and Mayne, D. (1998). Minmax feedback model predictive control for constrained linear systems, IEEE Transactions on Automatic Control 43(8): 1136-1142.10.1109/9.704989]Search in Google Scholar
[Skogestad, S. (2000). Plantwide control: the search for the self-optimizing control structure, Journal of Process Control 10(5): 487-507.10.1016/S0959-1524(00)00023-8]Search in Google Scholar
[Skogestad, S. (2004). Control structure design for complex chemical plants, Computers and Chemical Engineering 28(1-2): 219-234.10.1016/j.compchemeng.2003.08.002]Search in Google Scholar
[Sztyber, K. (2008). Predictive Control Algorithms under Uncertainty, Ph.D. thesis, Warsaw University of Technology, Warsaw, (in Polish).]Search in Google Scholar
[Tatjewski, P. (2007). Advanced Control of Industrial Processes, Springer, London.]Search in Google Scholar
[Tatjewski, P. (2008). Advanced control and on-line process optimization in multilayer structures, Annual Reviews in Control 32(1): 71-85.10.1016/j.arcontrol.2008.03.003]Search in Google Scholar
[Tatjewski, P. and Ławryńczuk, M. (2006). Soft computing in model-based predictive control, International Journal of Applied Mathematics and Computer Science 16(1): 7-26.]Search in Google Scholar
[Tatjewski, P., Ławryńczuk, M. and Marusak, P. (2006). Linking nonlinear steady-state and target set-point optimization for model predictive control, Proceedings of the Control Conference 2006, Glasgow, UK, (on CD-ROM).]Search in Google Scholar
[Tondell, P., Johansen, T. A. and Bemporad, A. (2003). An algotithm for multiparametric quadratic programming and explicit mpc solutions, Automatica 39(3): 489-497.10.1016/S0005-1098(02)00250-9]Search in Google Scholar
[Tran, V. N. and Brdys, M. A. (2009). Optimizing control by robustly feasible model predictive control and application to drinking water distribution systems, Artificial Neural Networks ICANN 2009, Lecture Notes in Computer Science, Vol. 5769, Springer, Berlin/Heidelberg.]Search in Google Scholar
[Wang, Y. (2002). Robust Model Predictive Control, Ph.D. thesis, University of Wisconsin-Madison, Madison, WI.]Search in Google Scholar
[Zanin, A., de Gouvea, M. T. and Odloak, D. (2002). Integrating real-time optimization into model predictive controller of the FCC system, Control Engineering Practice 10(8): 819-831.10.1016/S0967-0661(02)00033-3]Search in Google Scholar
[Zheng, A., Mahajanam, R. V. and Douglas, J. M. (1999). Hierarchical procedure for plantwide control system synthesis, AIChE Journal 45(6): 1255-1265.10.1002/aic.690450611]Search in Google Scholar