Article Outline
Introduction/Background
Definitions
Formulation
Open-Loop Robust Parametric Model Predictive Controller
Closed-Loop Robust Parametric Model-Based Control
Methods/Applications
Parametric Solution of the Inner Maximization Problem of the Open-Loop Robust pMPC Problem
Solution of the Closed-Loop RpMPC Problem
Cases
Robust Counterpart (RC) Problem
Interval Robust Counterpart Problem
Conclusions
References
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References
Acevedo J, Pistikopoulos EN (1999) An algorithm for multiparametric mixed-integer linear programming problems. Oper Res Lett 24:139–148
Bemporad A, Borelli F, Morari M (2003) Min–max control of constrained uncertain discrete-time linear systems. IEEE Trans Autom Contr 48(9):1600–1606
Bemporad A, Morari M (1999) Robust model predictive control: a survey Robustness in indentification and control. Springer, Berlin, pp 207–226
Bemporad A, Morari M, Dua V, Pistikopoulos EN (2002) The explicit linear quadratic regulator for constrained systems. Automatica 38:3–20
Ben-Tal A, Nemirovski A (2000) Robust solutions of linear programming problems contaminated with uncertain data. Math Program 88:411–424
Bertsekas DP, Rhodes IB (1971) On the minimax reachability of target sets and target tubes. Automatica 7:233–247
Camacho E, Bordons C (1999) Model Predictive Control. Springer, Berlin
Chisci L, Rossiter JA, Zappa G (2001) Systems with persistent disturbances: predictive control with restricted constraints. Automatica 37:1019–1028
Dua V, Bozinis NA, Pistikopoulos EN (2002) A multiparametric programming approach for mixed integer and quadratic engineering problems. Comput Chem Eng 26:715–733
Fiacco A (1983) Introduction to sensitivity and stability analysis in nonlinear programming. Academic, New York
Kothare MV, Balakrishnan V, Morari M (1996) Robust constrained model predictive control using linear matrix inequalities. Automatica 32(10):1361–1379
Langson W, Chryssochoos I, Raković SV, Mayne DQ (2004) Robust model predictive control using tubes. Automatica 40:125–133
Lee J, Cooley B (1997) Recent advances in model predictive control and other related areas. In: Carnahan B, Kantor J, Garcia C (eds) Proceedings of chemical process control – V: Assesment and new directions for research, vol 93 of AIChE Symposium Series No. 316, AIChE and CACHE, pp 201–216
Mayne D, Rawlings J, Rao C, Scokaert PO (2000) Constrained model predictive control: stability and optimality. Automatica 36:789–814
Morari M, Lee J (1999) Model predictive control: past, present and future. Comput Chem Eng 23:667–682
Pistikopoulos EN, Dua V, Bozinis NA, Bemporad A, Morari M (2002) On-line optimization via off-line parametric optimization tools. Automatica 26:175–185
Pistikopoulos EN, Georgiadis M, Dua V (eds) (2007) Multi-parametric Model-Based Control. In: Process Systems Engineering, vol 2. Wiley-VCH, Weinheim
Pistikopoulos EN, Georgiadis M, Dua V (eds) (2007) Multi-parametric Programming. In: Process Systems Engineering, vol 1. Wiley-VCH, Weinheim
Pistikopoulos EN, Grossmann I (1988) Optimal retrofit design for improving process flexibility in linear systems. Comput Chem Eng 12(7):719–731
Sakizlis V, Kakalis NMP, Dua V, Perkins JD, Pistikopoulos EN (2004) Design of robust model-based controllers via parametric programming. Automatica 40:189–201
Scokaert P, Mayne D (1998) Min–max feedback model predictive control for constrained linear systems. IEEE Trans Autom Contr 43(8):1136–1142
Wang YJ, Rawlings JB (2004) A new robust model predictive control method I: theory and computation. J Process Control 14:231–247
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Kouramas, K., Sakizlis, V., Pistikopoulos, E.N. (2008). Design of Robust Model-Based Controllers via Parametric Programming . In: Floudas, C., Pardalos, P. (eds) Encyclopedia of Optimization. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74759-0_122
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DOI: https://doi.org/10.1007/978-0-387-74759-0_122
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