Back to Search Start Over

Interval estimation for second-order delay differential equations with delayed measurements and uncertainties

Authors :
Andrey Polyakov
Denis Efimov
Jean-Pierre Richard
Emilia Fridman
Tatiana Kharkovskaia
Non-Asymptotic estimation for online systems (NON-A-POST)
Inria Lille - Nord Europe
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Department of Electrical Engineering
Tel Aviv University (TAU)
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL)
Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
Tel Aviv University [Tel Aviv]
Efimov, Denis
Source :
CDC 2018-57th IEEE Conference on Decision and Control, CDC 2018-57th IEEE Conference on Decision and Control, Dec 2018, Fontainebleau (FL), United States, CDC
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

International audience; The interval estimation design is studied for a second-order delay differential equation with position delayed measurements, uncertain input and initial conditions. The proposed method contains two consecutive interval observers. The first one estimates the interval of admissible values for the position without delay for each instant of time using new delay-dependent conditions on positivity. Then derived interval estimates of the position are used to design the second observer estimating an interval of admissible values for the velocity of the considered dynamical system. The results are illustrated by numerical experiments for an example.

Details

Language :
English
Database :
OpenAIRE
Journal :
CDC 2018-57th IEEE Conference on Decision and Control, CDC 2018-57th IEEE Conference on Decision and Control, Dec 2018, Fontainebleau (FL), United States, CDC
Accession number :
edsair.doi.dedup.....d095659ee10628f1efc36f750e58f9d5