Tube-based robust sampled-data MPC for linear continuous-time systems

Automatica

Volumn 48, Issue 7, 2012, Pages 1473-1476

  Farina, Marcello ^a   Scattolini, Riccardo ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

Continuous time systems; Linear systems; Model predictive control; Robustness

Indexed keywords

CONTINUOUS TIME; CONTROL LAWS; LINEAR CONTINUOUS-TIME SYSTEM; SAMPLED-DATA;

CONTINUOUS TIME SYSTEMS; LINEAR SYSTEMS; MODEL PREDICTIVE CONTROL; ROBUST CONTROL; ROBUSTNESS (CONTROL SYSTEMS); STATE FEEDBACK; TUBES (COMPONENTS);

PREDICTIVE CONTROL SYSTEMS;

EID: 84862848552     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2012.03.026     Document Type: Article

References (10)

1. K.J. ström, and B. Wittenmark Computer controlled systems 1984 Prentice-Hall
2. H. Chen, and F. Allgöwer A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability Automatica 34 1998 1205 1217
3. M. Farina, and R. Scattolini Distributed predictive control: a non-cooperative algorithm with neighbor-to-neighbor communication for linear systems Automatica 48 6 2012 1088 1096
4. D. Limon, T. Alamo, D.M. Raimondo, D. Muñoz de la Peña, J.M. Bravo, and A. Ferramosca Input-to-state stability: a unifying framework for robust model predictive control L. Magni, D.M. Raimondo, F. Allgöwer, Nonlinear model predictive control, towards new challenging applications Lecture notes in control and information sciences Vol. 384 2009 Springer 1 26
5. L. Magni, and R. Scattolini Model predictive control of continuous-time nonlinear systems with piecewise constant control IEEE Transactions on Automatic Control 49 2004 900 906
6. D.Q. Mayne, M.M. Seron, and S.V. Raković Robust model predictive control of constrained linear systems with bounded disturbances Automatica 41 2005 219 224
7. Raff, T., Sinz, D., & Allgöwer, F. (2008). Model predictive control of uncertain continuous-time systems with piecewise constant control input: a convex approach. In Proc. of the American control conference, Seattle, Washington, USA (pp. 1109-1114).
8. Rakovic, S. V., & Kouramas, K. I. (2007). Invariant approximations of the minimal robust invariant set via finite time Aumann integrals. In Proc. of the 46th IEEE conference on decision and control, New Orleans, LA, USA (pp. 194-199).
9. M. Rubagotti, D.M. Raimondo, A. Ferrara, and L. Magni Robust model predictive control with integral sliding mode in continuous-time sampled-data nonlinear systems IEEE Transactions on Automatic Control 56 2011 556 570
10. Trodden, P., & Richards, A. (2006). Robust distributed model predictive control using tubes. In Proc. of the American control conference, Minneapolis, Minnesota, USA (pp. 2034-2039).