Survey on algebraic numerical differentiation: historical developments, parametrization, examples, and applications

A Othmane, L Kiltz, J Rudolph - International Journal of Systems …, 2022 - Taylor & Francis
The historical developments, parametrization, and numerous applications of algebraic
numerical differentiation methods initiated by Fliess, Mboup, Join, and Sira-Ramírez are …

Expectation-maximization based disturbance identification and velocity tracking for gimbal servo systems with dynamic imbalance

X Guo, W Li, Y Cui, C Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Dynamic rotor imbalance is widely identified as the primary source of disturbance in gimbal
servo systems and a major factor in the deterioration of their velocity tracking performance …

The weak form is stronger than you think

DA Messenger, A Tran, V Dukic, DM Bortz - arxiv preprint arxiv …, 2024 - arxiv.org
The weak form is a ubiquitous, well-studied, and widely-utilized mathematical tool in modern
computational and applied mathematics. In this work we provide a survey of both the history …

Non-asymptotic state estimation of linear reaction diffusion equation using modulating functions

L Ghaffour, M Noack, J Reger, TM Laleg-Kirati - IFAC-PapersOnLine, 2020 - Elsevier
In this paper, we propose a non-asymptotic state estimation method for the linear reaction
diffusion equation with general boundary conditions. The method is based on the …

Robust adaptive parameter estimator design for a multi-sinusoidal signal with fixed-time stability and guaranteed prescribed performance boundary of estimation error

H Dastres, SM Ebrahimi, M Malekzadeh… - Journal of the Franklin …, 2023 - Elsevier
In online parameter estimation, fast and accurate estimation without dependence on the
initial conditions with good transient properties is an essential issue. Hence, in this paper, a …

Finite-time estimation of multiple exponentially-damped sinusoidal signals: A kernel-based approach

B Chen, P Li, G Pin, G Fedele, T Parisini - Automatica, 2019 - Elsevier
The problem of estimating the parameters of biased and exponentially-damped multi-
sinusoidal signals is addressed in this paper by a finite-time identification scheme based on …

A finite-time observer-based identification of sinusoidal signal with unknown frequency

D Wu, S Li, H Du, J Na - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
In this article, we studied the parameters identification problem for the single sinusoidal
signal based on the finite-time observer technique. After representing the sinusoidal signal …

Observer-based adaptive scheme for fixed-time frequency estimation of biased sinusoidal signals

S Shi, H Min, S Ding - Automatica, 2021 - Elsevier
In this technical communique, we propose a novel observer-based adaptive scheme to deal
with the parameter estimation problem of biased sinusoidal signals. Different from the …

On biased harmonic signal estimation: Application to electric power grid monitoring

H Ahmed, R Ushirobira, D Efimov - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Parametric estimation of a biased harmonic signal is a significant technical challenge for
many engineering applications. Such a problem is particularly important for electric utility …

Finite time frequency estimation for multi-sinusoidal signals

AO Vediakova, AA Vedyakov, AA Pyrkin… - European Journal of …, 2021 - Elsevier
The paper presents a method to estimate frequencies of a multi-sinusoidal signal in finite
time. Expressing the signal via delayed measurements, we transform this nonlinear problem …