D. A. Allan, C. N. Bates, M. J. Risbeck, and J. B. Rawlings, On the inherent robustness of optimal and suboptimal nonlinear MPC, Systems & Control Letters, vol.106, pp.68-78, 2017.

R. Amrit, J. B. Rawlings, and D. Angeli, Economic optimization using model predictive control with a terminal cost, Annual Reviews in Control, vol.35, issue.2, pp.178-186, 2011.

E. M. Bronstein, Approximation of convex sets by polytopes, Journal of Mathematical Sciences, vol.153, issue.6, pp.727-762, 2008.

E. F. Camacho and C. Bordons, Model predictive control, Second Edition, 2007.

C. Chen and L. Shaw, On receding horizon feedback control, Automatica, vol.18, issue.3, pp.349-352, 1982.

L. Chisci, A. Lombardi, and E. Mosca, Dualreceding horizon control of constrained discrete time systems, European Journal of Control, vol.4, issue.2, pp.278-285, 1996.

C. Feller and C. Ebenbauer, Weight recentered barrier functions and smooth polytopic terminal set formulations for linear model predictive control, 2015 American Control Conference (ACC), pp.1647-1652, 2015.

C. Feller and C. Ebenbauer, A stabilizing iteration scheme for model predictive control based on relaxed barrier functions, Automatica, vol.80, pp.328-339, 2017.

P. Feyel, Perturbed differential evolution algorithmenhancing the differential evolution algorithm by perturbing the mutants, 2015.

P. Feyel, Robust Control Optimization with Metaheuristics, 2017.

E. G. Gilbert and K. T. Tan, Linear systems with state and control constraints: The theory and application of maximal output admissible sets, IEEE Transactions on Automatic control, vol.36, issue.9, pp.1008-1020, 1991.

M. Herceg, M. Kvasnica, C. Jones, and M. Morari, Multi-Parametric Toolbox 3.0, Proc. of the European Control Conference, pp.502-510, 2013.

S. Keerthi and E. G. Gilbert, Optimal infinitehorizon feedback laws for a general class of constrained discrete-time systems: Stability and movinghorizon approximations, Journal of optimization theory and applications, vol.57, issue.2, pp.265-293, 1988.

D. Q. Mayne, J. B. Rawlings, C. V. Rao, and P. O. Scokaert, Constrained model predictive control: Stability and optimality, Automatica, vol.36, issue.6, pp.789-814, 2000.

K. Merabti and H. Belarbi, Multi-objective predictive control: a solution using metaheuristics, International Journal of Computer Science & Information Technology, 2014.

H. Michalska and D. Q. Mayne, Robust receding horizon control of constrained nonlinear systems, IEEE transactions on automatic control, vol.38, issue.11, pp.1623-1633, 1993.

M. A. Müller, D. Angeli, F. Allgöwer, R. Amrit, and J. B. Rawlings, Convergence in economic model predictive control with average constraints, vol.50, pp.3100-3111, 2014.

P. Petsagkourakis, W. P. Heath, J. Carrasco, and C. Theodoropoulos, Input-output stability of barrierbased model predictive control, 2019.

K. Price, R. M. Storn, and J. A. Lampinen, Differential evolution: a practical approach to global optimization, 2006.

J. B. Rawlings, D. Q. Mayne, and M. Diehl, Model Predictive Control: Theory, Computation, and Design, 2017.

J. B. Rawlings and K. R. Muske, The stability of constrained receding horizon control, IEEE transactions on automatic control, vol.38, issue.10, pp.1512-1516, 1993.

M. Reble and F. Allgöwer, Unconstrained model predictive control and suboptimality estimates for nonlinear continuous-time systems, Automatica, vol.48, issue.8, pp.1812-1817, 2012.

P. O. Scokaert, D. Q. Mayne, and J. B. Rawlings, Suboptimal model predictive control (feasibility implies stability), IEEE Transactions on Automatic Control, vol.44, issue.3, pp.648-654, 1999.

A. G. Wills and W. P. Heath, Barrier function based model predictive control, Automatica, vol.40, issue.8, pp.1415-1422, 2004.

M. N. Zeilinger, C. N. Jones, and M. Morari, Robust stability properties of soft constrained mpc, 49th IEEE Conference on Decision and Control (CDC), pp.5276-5282, 2010.