Adaptive estimation for stochastic damping Hamiltonian systems under partial observation
Sign Up to like & getrecommendations! Published in 2017 at "Stochastic Processes and their Applications"
DOI: 10.1016/j.spa.2017.03.011
Abstract: Abstract The paper considers a process Z t = ( X t , Y t ) where X t is the position of a particle and Y t its velocity, driven by a hypoelliptic bi-dimensional… read more here.
Keywords: stochastic damping; observation; damping hamiltonian; estimation stochastic ... See more keywords
Adaptive Estimation Approach for Parameter Identification of Photovoltaic Modules
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Photovoltaics"
DOI: 10.1109/jphotov.2016.2633815
Abstract: This paper presents a novel identification technique for estimation of unknown parameters in photovoltaic (PV) systems. A single-diode model is considered for the PV system, which consists of five unknown parameters. Using information about standard… read more here.
Keywords: estimation; estimation approach; unknown parameters; identification ... See more keywords
Event-Triggered Basis Augmentation for Multiagent Collaborative Adaptive Estimation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2024.3442271
Abstract: Parameterization is a necessary step for learning unstructured unknown dynamical systems. In this article, we aim to balance the tradeoff between expressiveness and complexity when selecting models for parameterizing unstructured dynamics using universal regression models.… read more here.
Keywords: basis augmentation; adaptive estimation; basis; estimation ... See more keywords
Adaptive Estimation of K-Distribution Shape Parameter Based on Fuzzy Statistical Normalization Processing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3164394
Abstract: It is difficult to estimate the parameters of K-distribution in inhomogeneous reverberation or clutter, which usually consists of interferences such as strong scattering objects in sonar data or sea-spikes in radar data. In this article,… read more here.
Keywords: estimation; adaptive estimation; distribution; shape parameter ... See more keywords
Adaptive Estimation of Time-Varying Parameters With Application to Roto-Magnet Plant
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2018.2882844
Abstract: This paper presents an alternative adaptive parameter estimation framework for nonlinear systems with time-varying parameters. Unlike existing techniques that rely on the polynomial approximation of time-varying parameters, the proposed method can directly estimate the unknown… read more here.
Keywords: varying parameters; adaptive estimation; estimation; time varying ... See more keywords
Adaptive estimation of vehicle and tire state parameters based on signal strength
Sign Up to like & getrecommendations! Published in 2025 at "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering"
DOI: 10.1177/09544070251380476
Abstract: Accurate real-time state parameters are critical for vehicle control systems, but direct measurement is often hindered by sensor inaccuracies and high costs. This study proposes a dual-layer estimation framework using unscented Kalman filters. The first… read more here.
Keywords: adaptive estimation; state parameters; tire; vehicle ... See more keywords
Adaptive estimation in the linear random coefficients model when regressors have limited variation
Sign Up to like & getrecommendations! Published in 2022 at "Bernoulli"
DOI: 10.3150/21-bej1354
Abstract: We consider a linear model where the coefficients-intercept and slopes-are random and independent from regressors which support is a proper subset. When the density has finite weighted L 2 norm, for well chosen weights, the… read more here.
Keywords: estimation linear; model; random coefficients; linear random ... See more keywords
An Adaptive Estimation Model for the States and Loads in Electro-Hydraulic Actuation Systems
Sign Up to like & getrecommendations! Published in 2025 at "Actuators"
DOI: 10.3390/act14090447
Abstract: In this study, we introduce an advanced framework for state estimation in electro-hydraulic systems, utilizing a structurally adapted Kalman filter. The proposed model was designed to enhance estimation accuracy and robustness under dynamic load variations… read more here.
Keywords: estimation model; load; adaptive estimation; estimation ... See more keywords
Robust Adaptive Estimation of Graph Signals Based on Welsch Loss
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14020426
Abstract: This paper considers the problem of adaptive estimation of graph signals under the impulsive noise environment. The existing least mean squares (LMS) approach suffers from severe performance degradation under an impulsive environment that widely occurs… read more here.
Keywords: adaptive estimation; graph signals; welsch loss; graph ... See more keywords