Sfoglia per Soggetto "State estimation"
Items 1-11 di 11
-
A Bayesian Expectation-Maximization (BEM) methodology for joint input-state estimation and virtual sensing of structures
(2022)The joint input-state estimation and virtual sensing of structures are reformulated on a Bayesian probabilistic foundation, focusing on data-driven uncertainty quantification and propagation. The variation of input forces ... -
Digitalbeing: An ambient intelligent dance space
(2006)DigitalBeing is an ambient intelligent system that aims to use stage lighting and lighting in projected imagery within a dance performance to portray dancer's arousal state. The dance space will be augmented with pressure ... -
A dual Kalman filter approach for state estimation via output-only acceleration measurements
(2015)A dual implementation of the Kalman filter is proposed for estimating the unknown input and states of a linear state-space model by using sparse noisy acceleration measurements. The successive structure of the suggested ... -
Experimental validation of the dual Kalman filter for online and real-time state and input estimation
(2015)In this study, a novel dual implementation of the Kalman filter is proposed for simultaneous estimation of the states and input of structures via acceleration measurements. In practice, the uncertainties stemming from the ... -
Experimental validation of the dual kalman filter for online and real-time state and input estimation
(2015)In this study, a novel dual implementation of the Kalman filter is proposed for simultaneous estimation of the states and input of structures via acceleration measurements. In practice, the uncertainties stemming from the ... -
A general substructure-based framework for input-state estimation using limited output measurements
(2021)This paper presents a general framework for estimating the state and unknown inputs at the level of a system subdomain using a limited number of output measurements, enabling thus the component-based vibration monitoring ... -
Joint estimation of states and input in linear structural dynamics
(2011)The problem of jointly estimating the input forces and states of a structure from a limited number of acceleration measurements is addressed. Utilizing a model-based joint input-state estimation algorithm originally developed ... -
Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors
(2012)An algorithm is presented for jointly estimating the input and state of a structure from a limited number of acceleration measurements. The algorithm extends an existing joint input-state estimation filter, derived using ... -
Output-only schemes for joint input-state-parameter estimation of linear systems
(2015)The subject of predicting structural response, for control or fatigue assessment purposes, via output only vibration measurements is an emerging topic of Structural Health Monitoring. The subject of estimation of the states ... -
Real-time Bayesian parameter, state and input estimation using output-only vibration measurements
(2020)This paper presents a new sequential Bayesian method for the real-time estimation of state, input, parameters, and noise characteristics in dynamical systems using output-only measurements. It is an extension of the method ... -
A streamline approach to multiaxial fatigue monitoring using virtual sensing
(2022)This paper presents a framework for fatigue monitoring on linear components of a structure subjected to unknown loads using a limited number of output-only vibration measurements. It exploits virtual sensing techniques to ...