A reduced-order adaptive state observer for DC–DC converters with unknown constant power load
W He, X Wang, MM Namazi, W Zhou… - Control Engineering …, 2024 - Elsevier
In this paper, main objective is to develop a reduced-order adaptive state observer (RASO)
for a large class of DC–DC converters with constant power load (CPL) to estimate their …
for a large class of DC–DC converters with constant power load (CPL) to estimate their …
Comparative analysis of parameter convergence for several least-squares estimation schemes
Least-squares parameter estimation is important in system identification and adaptive
control owing to its enhanced performance and robustness compared to gradient-descent …
control owing to its enhanced performance and robustness compared to gradient-descent …
Detection of volatile organic compounds in adulterated tea using Fourier transform infrared spectroscopy and Proton-transfer-reaction mass spectrometry
C Yang, D Duan, C Dong, C Li, G Li, Y Zhou, Y Gu… - Food Chemistry, 2023 - Elsevier
Aroma is a key factor used to evaluate tea quality. Illegal traders usually add essence to
expired or substandard tea to improve its aroma so as to gain more profit. Traditional …
expired or substandard tea to improve its aroma so as to gain more profit. Traditional …
Relative Localization With Non-Persistent Excitation Using UWB-IMU Measurements
Y Wang, Q Yang, H Cui, H Fang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In multi-robot systems, accurate relative localization is indispensable for executing
collaborative tasks in GPS-denied environments. This paper focuses on the relative …
collaborative tasks in GPS-denied environments. This paper focuses on the relative …
Real-time parameter estimation of polymer electrolyte membrane fuel cell in absence of excitation
Parameter estimation is crucial for polymer electrolyte membrane fuel cell monitoring and
control. Nonetheless, most parameter estimation algorithms rely on a persistence of …
control. Nonetheless, most parameter estimation algorithms rely on a persistence of …
Parameter estimation of some special classes of dynamical nonlinear systems with non-separable nonlinear parameterizations
In this paper we address the challenging problem of designing globally convergent
estimators for the parameters of nonlinear systems containing a non-separable exponential …
estimators for the parameters of nonlinear systems containing a non-separable exponential …
Online Parameter Estimation of the Polarization Curve of a Fuel Cell With Guaranteed Convergence Properties: Theoretical and Experimental Results
In this article, the problem of online parameter estimation of a proton exchange membrane
fuel cell (PEMFC) polarization curve, that is, the static relation between the voltage and the …
fuel cell (PEMFC) polarization curve, that is, the static relation between the voltage and the …
Robust adaptive consensus of perturbed Euler–Lagrange agents with unknown time varying disturbances
In this paper we consider the problem of leaderless consensus for networks of fully actuated
Euler–Lagrange agents perturbed by unknown additive disturbances. The network is an …
Euler–Lagrange agents perturbed by unknown additive disturbances. The network is an …
Parameter estimation of two classes of nonlinear systems with non-separable nonlinear parameterizations
In this paper we address the challenging problem of designing globally convergent
estimators for the parameters of nonlinear systems containing an exponential function …
estimators for the parameters of nonlinear systems containing an exponential function …
On-line parameter estimation of the polarization curve of a fuel cell with guaranteed convergence properties: Theoretical and experimental results
In this paper, we address the problem of online parameter estimation of a Proton Exchange
Membrane Fuel Cell (PEMFC) polarization curve, that is the static relation between the …
Membrane Fuel Cell (PEMFC) polarization curve, that is the static relation between the …