A novel two step adaptive identification framework is proposed for sinusoidal signals to
estimate the unknown offset, amplitude, frequency and phase, where only the output …

Compared with linear time invariant systems, linear periodic system can describe the
periodic processes arising from nature and engineering more precisely. However, the time …

Although adaptive parameter estimation (APE) has been studied for decades, quantifying
the transient estimation error convergence performance (eg, overshoot and convergence …

Through the wall detection and localization of a moving target with a bistatic UWB radar system
Page 1 Xiao wei Zhao 1, Alain Gaugue, Christophe Li`ebe, Jamal Khamlichi, Michel Ménard …

Which is the minimum order an autonomous non-linear ordinary differential equation (ODE)
needs to have to be able to model a periodic signal? This question is motivated by recent …

围绕脉动加载下的疲劳损伤演化, 基于振动信号的测量数据, 应用非线性常微分方程建立周期
振动信号的参数化建模与损伤演化检测方法. 采用多项式逼近非线性函数的策略 …

The paper discusses when and how a nonlinear autonomous system can be uniquely
identified from periodic data. This is a central problem in systems biology, where it eg arises …

• In many applications of signal processing, it is desirable to eliminate or extract sine waves
from observed data or to estimate their unknown frequencies.• Tracking of time-varying …

Dans ce papier, on présente une méthode de détection et de localisation d'une cible
dynamique derrière un mur en utilisant un système de Radar Ultra Large Bande (ULB) …

In this dissertation we study identification of complex dynamic systems as well as hybrid
system estimation. For the identification part, we propose a scheme to identify an …