Robustly stable adaptive horizon nonlinear model predictive control

Chen, 1998, A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability, Automatica, 34, 1205, 10.1016/S0005-1098(98)00073-9 Chen, 2003, On the terminal region of model predictive control for non-linear systems with input/state constraints, Int. J. Adapt. Control Signal. Process., 17, 195, 10.1002/acs.731 Diehl, 2011, A Lyapunov function for economic optimizing model predictive control, IEEE Trans. Autom. Control, 56, 703, 10.1109/TAC.2010.2101291 Eaton, 2015, Feedback control of chemical processes using on-line optimization techniques, Comput. Chem. Eng., 60, 1671 Grüne, 2011 Huang, 2010, Fast offset-free nonlinear model predictive control based on moving horizon estimation, Ind. Eng. Chem. Res., 49, 7882, 10.1021/ie901945y Jäschke, 2014, Fast economic model predictive control based on NLP-sensitivities, J. Process. Control, 24, 1260, 10.1016/j.jprocont.2014.04.009 Kögel, 2013, Stability of nmpc with cyclic horizons, IFAC Proc. Vol., 46, 809, 10.3182/20130904-3-FR-2041.00184 Leer, 2012 Limon, 2002 Limon, 2009, Input-to-state stability: a unifying framework for robust model predictive control Lucia, 2013, Multi-stage nonlinear model predictive control applied to a semibatch polymerization reactor under uncertainty, J. Process. Control, 23, 1306, 10.1016/j.jprocont.2013.08.008 Pannocchia, 2005, Offsetfree receding horizon control of constrained linear systems, AIChE J., 51, 3134, 10.1002/aic.10626 Pannocchia, 2011, Conditions under which suboptimal nonlinear MPC is inherently robust, Syst. Control Lett., 60, 747, 10.1016/j.sysconle.2011.05.013 Pirnay, 2012, Optimal sensitivity based on Ipopt, Math. Prog. Comp., 4, 307, 10.1007/s12532-012-0043-2 Qin, 2003, A survey of industrial model predictive control technology, Control Eng. Pract., 1, 733, 10.1016/S0967-0661(02)00186-7 Raff, 2006, Nonlinear model predictive control of a four tank system: an experimental stability study, Proceedings of the 2006 IEEE International Conference on Control Applications, 237, 10.1109/CACSD-CCA-ISIC.2006.4776652 Rajhans, 2016, Two alternate approaches for characterization of the terminal region for continuous time quasi-infinite horizon nmpc, 12th IEEE Conference on Control & Automation, 98 Rajhans, 2017, Discrete time formulation of quasi infinite horizon nonlinear model predictive control scheme with guaranteed stability, IFAC World Congress Rao, 2001, Constrained linear state estimation - a moving horizon approach, Automatica, 37, 1619, 10.1016/S0005-1098(01)00115-7 Rawlings, 2009 Scokaert, 1998, Min-max feedback model predictive control for constrained linear systems, IEEE Trans. Autom. Control, 43, 1136, 10.1109/9.704989 Shekhar, 2012 Wächter, 2006, On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming, Math. Program, 106, 25, 10.1007/s10107-004-0559-y Yang, 2013, Advanced-multi-step nonlinear model predictive control, J. Process. Control, 23, 1116, 10.1016/j.jprocont.2013.06.011 Yang, 2015, Nonlinear programming properties for stable and robust NMPC, IFAC-PapersOnLine, 48, 388, 10.1016/j.ifacol.2015.11.310 Zavala, 2009, The advanced-step NMPC controller: optimality, stability, and robustness, Automatica, 45, 86, 10.1016/j.automatica.2008.06.011 Zavala, 2010, Real-time nonlinear optimization as a generalized equation, SIAM J. Control Optim., 48, 5444, 10.1137/090762634 Zavala, 2012, Stability of multiobjective predictive control: a utopia-tracking approach, Automatica, 48, 2627, 10.1016/j.automatica.2012.06.066