[1]
|
G. C. Goodwin, “Inverse Problems with Constraints,” Proceedings of the 15th IFAC World Congress, Barcelona, 21-26 July 2002.
|
[2]
|
F. Szeifert, T. Chován and L. Nagy, “Control Structures Based on Constrained Inverses,” Hungarian Journal of Industrial Chemistry, Vol. 35, 2007, pp. 47-55.
|
[3]
|
D. Chen and D. E: Seborg, “PI/PID Controller Design Based on Direct Synthesis and Disturbance Rejection,” Industrial & Engineering Chemistry Research, Vol. 41, 2002, pp. 4807-4822. doi:10.1021/ie010756m
|
[4]
|
S. Skogestad, “Simple Analytic Rules for Model Reduction and PID Controller Tuning,” Journal of Process Control, Vol. 13, No. 4, 2003, pp. 291-309.
doi:10.1016/S0959-1524(02)00062-8
|
[5]
|
M. Morari and J. H. Lee, “Model Predictive Control: Past, Present and Future,” Computers and Chemical Engineering, Vol. 23, No. 4-5, 1999, pp. 667-682.
doi:10.1016/S0098-1354(98)00301-9
|
[6]
|
M. A. Hosen, M. A. Hussain and F. S. Mjalli, “Control of Polystyrene Batch Reactors Using Neural Network Based Model Predictive Control (NNMPC): An Experimental Investigation,” Control Engineering Practice, Vol. 19, No. 5, 2011, pp. 454-467.
doi:10.1016/j.conengprac.2011.01.007
|
[7]
|
L. R. Tóth, L. Nagy and F. Szeifert, “Nonlinear Inversion-Based Control of a Distributed Parameter Heating System,” Applied Thermal Engineering, Vol. 43, 2012, pp. 174-179. doi:10.1016/j.applthermaleng.2011.11.032
|
[8]
|
M. Abbaszadeh, “Nonlinear Multiple Model Predictive Control of Solution Polymerization of Methyl Methacrylate,” Intelligent Control and Automation, Vol. 2 No. 3, 2011, pp. 226-232. doi:10.4236/ica.2011.23027
|