Since the proposal of moving horizon (MH) estimation in 1960s, the MH estimation approach
has drawn ever-increasing research interests due mainly to its inherent capability of …

This article analyzes the stability‐related properties of long short‐term memory (LSTM)
networks and investigates their use as the model of the plant in the design of model …

We provide a novel robust stability analysis for moving horizon estimation (MHE) using a
Lyapunov function. In addition, we introduce linear matrix inequalities (LMIs) to verify the …

This paper presents a novel distributed estimation algorithm based on the concept of moving
horizon estimation. Under weak observability conditions we prove convergence of the state …

This paper presents a moving horizon estimation approach for the multirate sampled-data
system with unknown time-delay sequence. To estimate the unknown variables of interest …

An approach to state estimation for discrete-time linear time-invariant systems with
measurements that may be affected by outliers is presented by using only a batch of most …

The goal of this paper is to provide sufficient conditions for guaranteeing the Input-to-State
Stability (ISS) and the Incremental Input-to-State Stability (δ ISS) of Gated Recurrent Units …

In this paper, we propose a new moving horizon estimator for nonlinear detectable systems.
Similar to a recently proposed full information estimator, the corresponding cost function …

Many scientific and technological areas of major interest require one to solve infinite-
dimensional optimization problems, also called functional optimization problems. In such a …

This work presents the Kazantzis–Kravaris/Luenberger (KKL) observer design for nonlinear
time-varying discrete systems. We first give sufficient conditions on the existence of a …