State Observation of LTV Systems with Delayed Measurements: A Parameter Estimation-based Approach with Fixed Convergence Time - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue Automatica Année : 2021

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

Résumé

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.
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Dates et versions

hal-03174995 , version 1 (19-03-2021)
hal-03174995 , version 2 (21-03-2021)

Identifiants

  • HAL Id : hal-03174995 , version 1

Citer

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, In press. ⟨hal-03174995v1⟩
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