Agile manoeuvres using model predictive control

Allgöwer F, Zheng A (2012) Nonlinear mode l predictive control, volume 26. Birkhäuser.Search in Google Scholar

Bakaráč P, Kvasnica M (2018) Fast nonlinear model predictive control of a chemical reactor: a random shooting approach. Acta Chimica Slovaca, 11(2): 175—181.10.2478/acs-2018-0025Search in Google Scholar

Bakošová M, Oravec J (2014) Robust mpc of an unstable chemical reactor using the nominal system optimization. Acta Chimica Slovaca, 7(2): 87—93.10.2478/acs-2014-0015Search in Google Scholar

Bakošová M, Oravec J, Matejičková K (2013) Model predictive control-based robust stabilization of a chemical reactor. Chemical Papers, 67(9): 1146—1156.10.2478/s11696-012-0296-2Search in Google Scholar

Čižniar M, Podmajerský M, Hirmajer T, Fikar M, LatifiMA (2009) Global optimization for parameter estimation of differential-algebraic systems. Chemical Papers, 63(3): 274—283.10.2478/s11696-009-0017-7Search in Google Scholar

Dyer M, Kannan R, Stougie L (2014) A simple randomised algorithm for convex optimisation. Mathematical Programming, 147(1—2): 207—229.10.1007/s10107-013-0718-0Search in Google Scholar

Kirkpatrick S, Gelatt C, Vecchi M (1983) Optimization by simulated annealing. Science, 220(4598): 671—680.10.1126/science.220.4598.67117813860Search in Google Scholar

Klaučo M, Kalúz M, Kvasnica M (2017) Real-time implementation of an explicit mpc-based reference governor for control of a magnetic levitation system. Control Engineering Practice, (60): 99—105.10.1016/j.conengprac.2017.01.001Search in Google Scholar

Maciejowski J (2002) Predictive control: with constraints. Pearson education.Search in Google Scholar

Martin P, Odloak D, Kassab F (2013) Robust model predictive control of a pilot plant distillation column. Control Engineering Practice, 21(3): 231—241.10.1016/j.conengprac.2012.10.004Search in Google Scholar

Oravec J, Bakošová M (2012) Robust constrained mpc stabilization of a cstr. Acta Chimica Slovaca, 5(2): 153—158.10.2478/v10188-012-0023-1Search in Google Scholar

Oravec J, Bakošová M (2015) Robust model-based predictive control of exothermic chemical reactor. Chemical Papers, 69(7).10.1515/chempap-2015-0146Search in Google Scholar

Oravec J, Bakošová M, Mészáros A, Míková N (2016a) Experimental investigation of alternative robust model predictive control of a heat exchanger. Applied Thermal Engineering, 105: 774—782.10.1016/j.applthermaleng.2016.05.046Search in Google Scholar

Oravec J, Bakošová M, Trafczynski M, Vasičkaninová A, Mészáros A, Markowski M (2018) Robust model predictive control and pid control of shell-andtube heat exchangers. Energy, 159: 1—10.10.1016/j.energy.2018.06.106Search in Google Scholar

Oravec J, Kalúz M, Bakaráč P, Bakošová M (2016b) Improvements of educational process of automation and optimization using 2d plotter. In Preprints of the 11th IFAC Symposium on Advances in Control Education, volume 11, pp. 16—21.10.1016/j.ifacol.2016.07.146Search in Google Scholar

Piovesan J, Tanner H (2009) Randomized model predictive control for robot navigation. In IEEE International Conference on Robotics and Automation, pp. 94—99.10.1109/ROBOT.2009.5152468Search in Google Scholar

Poli R, Kennedy J, Blackwell T (2007) Particle swarm optimization. Swarm intelligence, 1(1): 33—57.10.1007/s11721-007-0002-0Search in Google Scholar

Qin S, Badgwell T (2003) A survey of industrial model predictive control technology. Control engineering practice, 11(7): 733—764.10.1016/S0967-0661(02)00186-7Search in Google Scholar

Sahoo S, Lampert C, Martius G (2018) Learning equations for extrapolation and control. arXiv preprint arXiv:1806.07259.Search in Google Scholar

Wright S, Nocedal J (1999) Numerical optimization. Springer Science, 35(67—68): 7.10.1007/b98874Search in Google Scholar