Skip to Main content Skip to Navigation
Journal articles

State Observation of LTV Systems with Delayed Measurements: A Parameter Estimation-based Approach with Fixed Convergence Time

Alexey Bobtsov 1, 2 Nikolay Nikolaev 1, * Romeo Ortega 3, 1 Denis Efimov 4
* Corresponding author
4 VALSE - Finite-time control and estimation for distributed systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : In this paper we address the problem of state observation of linear time-varying (LTV) systems with delayed measurements, which has attracted the attention of many researchers-see [9] and references therein. We show that, the parameter estimationbased observer (PEBO) design proposed in [4,5] provides a very simple solution to the problem with reduced prior knowledge. Moreover, when PEBO is combined with the dynamic regressor extension and mixing (DREM) estimation technique [1,6], the estimated state converges in fixed-time with extremely weak excitation assumptions.
Document type :
Journal articles
Complete list of metadata

https://hal.inria.fr/hal-03174995
Contributor : Denis Efimov <>
Submitted on : Sunday, March 21, 2021 - 9:13:58 AM
Last modification on : Tuesday, March 23, 2021 - 3:28:09 AM

File

_gpebo_krstic_v14.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-03174995, version 2

Citation

Alexey Bobtsov, Nikolay Nikolaev, Romeo Ortega, Denis Efimov. State Observation of LTV Systems with Delayed Measurements: A Parameter Estimation-based Approach with Fixed Convergence Time. Automatica, Elsevier, In press. ⟨hal-03174995v2⟩

Share

Metrics

Record views

35

Files downloads

245