Title :
Robust control of general constrained batch processes
Author :
Alamir, M. ; Balloul, I.
Author_Institution :
Lab. d´Autom. de Grenoble, St. Martin d´Hères, France
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
In this paper, an implementable algorithm that enables to robustly control batch processes is proposed. The resulting state feedback algorithm is based on repeated online solution of constrained open loop min-max problems associated to the worst-case perturbations and/or uncertainties. These solutions are then used in a receding horizon scheme in order to yield a robust state feedback controller.
Keywords :
minimax techniques; perturbation techniques; predictive control; robust control; state feedback; uncertain systems; constrained open loop min-max problems; general constrained batch processes; receding horizon scheme; repeated online solution; robust state feedback controller; state feedback algorithm; uncertainties; worst-case perturbations; Input Saturation; Non convex optimization; Robust nonlinear control; batch processes; end point optimization;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
