Title :
Oracle based approach to admissible invariant sets
Author :
Redondo, M.J. ; Bravo, J.M. ; Alamo, T.
Author_Institution :
Dept. of Electron., Comput. Sci. & Autom. Eng., Univ. of Huelva, Palos de la Frontera, Spain
Abstract :
Given a nonlinear system and a control law, a new method to obtain cutting planes excluding points not belonging to the maximal admissible invariant set is proposed. The method uses linearization along the trajectory of the close-loop system to obtain a set of cutting planes. The main advantage of the approach is that if an inner approximation of the maximal admissible invariant set is available, the provided cutting planes do not intersect this initial approximation. A scaled version of an initial invariant set is used to improve the cutting planes obtained by linearization. The proposed approach can be used in the context of nonlinear model predictive control. The method is illustrated by an example.
Keywords :
closed loop systems; nonlinear control systems; predictive control; set theory; close-loop system; cutting planes; linearization system; maximal admissible invariant set; nonlinear model predictive control; oracle based approach; Approximation algorithms; Approximation methods; Ellipsoids; Estimation; Linear systems; Nonlinear systems; Predictive control;
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2012.6315517