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Communication Dans Un Congrès Année : 2023

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

Résumé

This paper deals with the problem of robust stability analysis of 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.

Domaines

Automatique

Dates et versions

hal-04201290 , version 1 (09-09-2023)

Identifiants

Citer

Hasni Arezki, Angelo Alessandri, Ali Zemouche. Robust convergence analysis of moving-horizon estimator for LPV discrete-time systems. 22nd IFAC World Congress, IFAC 2023, Jul 2023, Yokohama, Japan. ⟨10.1016/j.ifacol.2023.10.456⟩. ⟨hal-04201290⟩
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