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Survey on algebraic numerical differentiation: historical developments, parametrization, examples, and applications
The historical developments, parametrization, and numerous applications of algebraic
numerical differentiation methods initiated by Fliess, Mboup, Join, and Sira-Ramírez are …
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
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 …
servo systems and a major factor in the deterioration of their velocity tracking performance …
The weak form is stronger than you think
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
with the parameter estimation problem of biased sinusoidal signals. Different from the …
On biased harmonic signal estimation: Application to electric power grid monitoring
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 …
many engineering applications. Such a problem is particularly important for electric utility …
Finite time frequency estimation for multi-sinusoidal signals
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 …
time. Expressing the signal via delayed measurements, we transform this nonlinear problem …