Robust stability analysis of moving-horizon estimator for LPV discrete-time systems - ANR - Agence nationale de la recherche Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Robust stability analysis of moving-horizon estimator for LPV discrete-time systems

Résumé

This paper deals with the problem of robust stability analysis of the Moving Horizon Estimator (MHE) for Linear Parameter Varying (LPV) systems. The main contribution of the paper lies in the introduction of novel stability analysis tools guaranteeing exponential robust convergence of the MHE under only the incremental Exponential Input-Output-to-State Stability (i-EIOSS) assumption. Indeed, the i-EIOSS property characterizes the detectability of a system, which is a less conservative assumption compared to the observability condition. By using the proposed novel mathematical tools, we develop new synthesis conditions for the MHE tuning parameters while ensuring the Exponential Robust Stability (ERS) property, by exploiting three novel prediction techniques. Such conditions depend on the prediction equation used in the MHE scheme.
Fichier non déposé

Dates et versions

hal-04015326 , version 1 (05-03-2023)

Identifiants

  • HAL Id : hal-04015326 , version 1

Citer

Hasni Arezki, Angelo Alessandri, Ali Zemouche. Robust stability analysis of moving-horizon estimator for LPV discrete-time systems. 22nd IFAC World Congress, IFAC 2023, Jul 2023, Yokohama, Japan. ⟨hal-04015326⟩
102 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More