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.
Robust Convergence Analysis of Moving-Horizon Estimator for LPV Discrete-Time Systems
Arezki H.;Alessandri A.;
2023-01-01
Abstract
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.
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