Robust nonlinear model predictive controller design based on multi-scenario formulation

Proceedings of the American Control Conference

Volumn , Issue , 2009, Pages 2341-2342

  Huang, Rui ^a   Biegler, Lorenz T ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INPUT-TO-STATE; MIN-MAX STRATEGY; NON-LINEAR MODEL; NONLINEAR MODEL PREDICTIVE CONTROL; STEADY-STATE OFFSETS;

ALGORITHMS; CONTROLLERS; INTERNET SERVICE PROVIDERS; PREDICTIVE CONTROL SYSTEMS;

MODEL PREDICTIVE CONTROL;

EID: 70449669128     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2009.5160486     Document Type: Conference Paper

References (5)

1. D. Limon, T. Alamo, D. Raimondo, D. la Peña, J. Bravo, and E. Camacho, "Input-to-state stability: a unifying framework for robust model predictive control," in Assessment and Future Directions of Nonlinear Model Predictive Control. Springer, in press.
2. M. Diehl, J. Gerhard, W. Marquardt, and M. Mönnigmann, "Numerical solutions approaches for robust nonlinear optimal control problems," Computers & Chemical Engineeering, vol. 32, pp. 1279-1292, 2008.
3. C. Laird and L. Biegler, "Large-scale nonlinear programming for multiscenario optimization," in Modeling, Simulation and Optimization of Complex Processes, H. Bock, E. Kostina, H. Phu, and R. Rannacher, Eds. Springer, 2008, pp. 323-336.
4. V. Zavala and L. Biegler, "The advanced step nmpc controller: Optimality, stability and robustness," Automatica, vol. 45, pp. 86-93, 2009.
5. R. Huang, S. Patwardhan, and L. Biegler, "Multi-scenario-based robust nonlinear model predictive control with first principle models," 2009, submitted for publication.