Authors:
Qiaochu Li
1
;
Carine Jauberthie
2
;
Lilianne Denis-Vidal
1
and
Cherfi Zohra
3
Affiliations:
1
UTC, France
;
2
LAAS-CNRS, Univ. de Toulouse, UPS and LAAS, France
;
3
University of Technology of Compiegne, France
Keyword(s):
Parameter estimation, State estimation, Continuous-time Systems, Nonlinear systems, Bounded noise, Interval analysis, Aerospace models.
Related
Ontology
Subjects/Areas/Topics:
Informatics in Control, Automation and Robotics
;
Nonlinear Signals and Systems
;
Signal Processing, Sensors, Systems Modeling and Control
;
System Identification
Abstract:
This paper deals with parameter and state estimation in a bounded-error context for uncertain dynamical aerospace models when the input is considered optimized or not. In a bounded-error context, perturbations are assumed bounded but otherwise unknown. The parameters to be estimated are also considered bounded. The tools of the presented work are based on a guaranteed numerical set integration solver of ordinary differential equations combined with adapted set inversion computation. The main contribution of this work consists in developing procedures for parameter estimation whose performance is highly related with the input of system. In this paper, a comparison with a classical non-optimized input is proposed.