[Åkesson, B. M. and Toivonen, H. T. (2006). A neural network model predictive controller, Journal of Process Control 16(3): 937-946.10.1016/j.jprocont.2006.06.001]Search in Google Scholar
[Bazaraa, M. S., Sherali, J. and Shetty, K. (1993). Nonlinear Programming: Theory and Algorithms, John Wiley & Sons, New York, NY.]Search in Google Scholar
[Clarke, D.W. and Mohtadi, C. (1989). Properties of generalized predictive control, Automatica 25(6): 859-875.10.1016/0005-1098(89)90053-8]Search in Google Scholar
[Cutler, R. and Ramaker, B. (1979). Dynamic matrix control—A computer control algorithm, Proceedings of the AIChE National Meeting, Houston, TX, USA.]Search in Google Scholar
[Doyle, F. J., Ogunnaike, B. A. and Pearson, R. K. (1995). Nonlinear model-based control using second-order Volterra models, Automatica 31(5): 697-714.10.1016/0005-1098(94)00150-H]Search in Google Scholar
[Doyle, F. J., R. K. P. and Ogunnaike, B. A. (2001). Identification and Control of Process Systems Using Volterra Models, Springer, New York, NY.]Search in Google Scholar
[Haykin, S. (1999). Neural Networks. A Comprehensive Foundation, 2nd Edition, Prentice Hall, Englewood Cliffs, NJ.]Search in Google Scholar
[Henson, M. A. (1998). Nonlinear model predictive control: Current status and future directions, Computers and Chemical Engineering 23(2): 187-202.10.1016/S0098-1354(98)00260-9]Search in Google Scholar
[Hornik, K., Stinchcombe, M. and White, H. (1989). Multilayer feedforward networks are universal approximators, Neural Networks 2(5): 359-366.10.1016/0893-6080(89)90020-8]Search in Google Scholar
[Hussain, M. A. (1999). Review of the applications of neural networks in chemical process control—Simulation and online implementation, Artificial Intelligence in Engineering 13(1): 55-68.10.1016/S0954-1810(98)00011-9]Search in Google Scholar
[Ławryńczuk, M. (2007a). A family of model predictive control algorithms with artificial neural networks, International Journal of Applied Mathematics and Computer Science 17(2): 217-232.10.2478/v10006-007-0020-5]Search in Google Scholar
[Ławryńczuk, M. (2007b). Suboptimal nonlinear predictive control with structured neural models, in J. M. de Sá, J. M. Alexandre, W. Duch and D. Mandic (Eds.), The 17th International Conference on Artificial Neural Networks, ICANN 2007, Porto, Portugal, Springer, Heidelberg, pp. 630-639.10.1007/978-3-540-74695-9_65]Search in Google Scholar
[Ławryńczuk, M. and Tadej, W. (2008). A computationally efficient stable dual-mode type nonlinear predictive control algorithm, Control and Cybernetics 37(1): 99-132.]Search in Google Scholar
[LeCun, Y., Denker, J. and Solla, S. (1989). Optimal brain damage, in D. Touretzky (Ed.), Advances of NIPS2, Morgan Kaufmann, San Mateo, CA, pp. 598-605.]Search in Google Scholar
[Liu, D., Shah, S. L. and Fisher, D. G. (1999). Multiple prediction models for long range predictive control, Proceedings of the IFAC World Congress, Beijing, China, (on CD-ROM).10.1016/S1474-6670(17)57157-8]Search in Google Scholar
[Liu, G. P., Kadirkamanathan, V. and Billings, S. A. (1998). Predictive control for non-linear systems using neural networks, International Journal of Control 71(6): 1119-1132.10.1080/002071798221515]Search in Google Scholar
[Luyben, W. L. (1990). Process Modelling, Simulation and Control for Chemical Engineers, McGraw Hill, New York, NY.]Search in Google Scholar
[Maciejowski, J. M. (2002). Predictive Control with Constraints, Prentice Hall, Harlow.]Search in Google Scholar
[Marlin, T. E. (1995). Process Control, McGraw-Hill, New York, NY.]Search in Google Scholar
[Morari, M. and Lee, J. (1999). Model predictive control: Past, present and future, Computers and Chemical Engineering 23(4): 667-682.10.1016/S0098-1354(98)00301-9]Search in Google Scholar
[Nørgaard, M., Ravn, O., Poulsen, N. K. and Hansen, L. K. (2000). Neural Networks for Modelling and Control of Dynamic Systems, Springer, London.10.1007/978-1-4471-0453-7]Search in Google Scholar
[Parisini, T., Sanguineti, M. and Zoppoli, R. (1998). Nonlinear stabilization by receding-horizon neural regulators, International Journal of Control 70(3): 341-362.10.1080/002071798222271]Search in Google Scholar
[Piche, S., Sayyar-Rodsari, B., Johnson, D. and Gerules, M. (2000). Nonlinear model predictive control using neural networks, IEEE Control Systems Magazine 20(3): 56-62.10.1109/37.845038]Search in Google Scholar
[Pottmann, M. and Seborg, D. E. (1997). A nonlinear predictive control strategy based on radial basis function models, Computers and Chemical Engineering 21(9): 965-980.10.1016/S0098-1354(96)00340-7]Search in Google Scholar
[Qin, S. J. 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
[Rossiter, J. A. (2003). Model-Based Predictive Control, CRC Press, Boca Raton, FL.]Search in Google Scholar
[Rossiter, J. A. and Kouvaritakis, B. (2001). Modelling and implicit modelling for predictive control, International Journal of Control 74(11): 1085-1095.10.1080/00207170110054129]Search in Google Scholar
[Scattolini, R. and Bittanti, S. (1990). On the choice of the horizon in long-range predictive control—Some simple criteria, Automatica 26(5): 915-917.10.1016/0005-1098(90)90009-7]Search in Google Scholar
[Tatjewski, P. (2007). Advanced Control of Industrial Processes, Structures and Algorithms, Springer, London.]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): 101-120.]Search in Google Scholar
[Trajanoski, Z. and Wach, P. (1998). Neural predictive control for insulin delivery using the subcutaneous route, IEEE Transactions on Biomedical Engineering 45(9): 1122-1134.10.1109/10.709556]Search in Google Scholar
[Yu, D. L. and Gomm, J. B. (2003). Implementation of neural network predictive control to a multivariable chemical reactor, Control Engineering Practice 11(11): 1315-1323.10.1016/S0967-0661(02)00258-7]Search in Google Scholar