Characterization of Min-Max MPC with bounded uncertainties and a quadratic criterion

Proceedings of the American Control Conference

Volumn 1, Issue , 2002, Pages 358-363

  Ramirez D R ^a   Camacho, E F ^a  

^a UNIVERSIDAD DE SEVILLA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; CONTROL SYSTEM SYNTHESIS; LINEAR CONTROL SYSTEMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; OPTIMAL CONTROL SYSTEMS; OPTIMIZATION; PERTURBATION TECHNIQUES; PIECEWISE LINEAR TECHNIQUES; ROBUSTNESS (CONTROL SYSTEMS); UNCERTAIN SYSTEMS;

MODEL PREDICTIVE CONTROL; PIECEWISE LINEAR CONTROLLER; QUADRATIC CRITERION;

PREDICTIVE CONTROL SYSTEMS;

EID: 0036057850     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Robust model predictive control: Piecewise linear explicit solution
2. The explicit solution of model predictive control via multiparametric quadratic programming
3. Robust model predictive control
4. Worst-case formulations of model predictive control for systems with bounded parameters
5. Control predictivo min-max: Análisis, caracterización y técnicas de implementación
6. On the piecewise linear nature of min-max model predictive control with bounded uncertainties
7. Min-max feedback model predictive control for constrained linear systems