Title :
Ellipsoidal state estimation for systems with interval uncertainties
Author :
Ben Chabane, S. ; Stoica Maniu, C. ; Alamo, T. ; Camacho, E.F. ; Dumur, D.
Author_Institution :
Autom. Control Dept., SUPELEC Syst. Sci. (E3S), Gif-sur-Yvette, France
Abstract :
This paper presents a new ellipsoidal set-membership state estimation approach for linear systems with interval uncertainties, bounded perturbations and noises. This approach consists in minimizing the radius of the ellipsoidal state estimation set at each time instant by solving a Linear Matrix Inequality problem. An improvement of the accuracy of this estimation technique is further proposed by adding quadratic constraints on the measurements and perturbations. The proposed methods are analyzed via an illustrative example.
Keywords :
fault tolerant control; linear matrix inequalities; linear systems; perturbation techniques; set theory; state estimation; uncertain systems; bounded perturbations; ellipsoidal set-membership state estimation approach; interval uncertainties; linear matrix inequality problem; linear systems; quadratic constraints; Accuracy; Ellipsoids; Linear matrix inequalities; Minimization; State estimation; Vectors; Linear Matrix Inequality; bounded noises and perturbations; ellipsoidal set; interval uncertainty; set-membership state estimation;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7039787