Parcourir par sujet "Parameter estimation"
Voici les éléments 21-40 de 47
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Improving technical trading systems by using a new MATLAB-based genetic algorithm procedure
(2007)Recent studies in financial markets suggest that technical analysis can be a very useful tool in predicting the trend. Trading systems are widely used for market assessment; however, parameter optimization of these systems ... -
Information-driven modeling of structures using a Bayesian framework
(2018)This work presents a comprehensive Bayesian framework for integrating information from data and models of civil infrastructure systems. In the proposed framework, modeling uncertainties are quantified and propagated through ... -
Input-state-parameter estimation of structural systems from limited output information
(2019)A successive Bayesian filtering framework for addressing the joint input-state-parameter estimation problem is proposed in this study. Following the notion of analytical, rather than hardware redundancy, the envisaged ... -
Measurement and modeling of microbial growth using timelapse video
(2020)The development of timelapse videos for the investigation of growing microbial colonies has gained increasing interest due to its low cost and complexity implementation. In the present study, a simple experimental setup ... -
Modeling and optimization of flexural properties of FDM-processed PET-G specimens using RSM and GWO algorithm
(2022)As in every manufacturing process, fused deposition modeling (FDM) is strongly related to its operational parameters. 3D-printed components are anisotropic and brittle and this imposes the need to investigate the effect ... -
Multi-objective optimization algorithms for finite element model updating
(2008)A multi-objective optimization method is presented for estimating the parameters of finite element structural models based on modal residuals. The method results in multiple Pareto optimal structural models that are ... -
A Nonlinear Model Inversion Method for Joint System Parameter, Noise, and Input Identification of Civil Structures
(2017)This paper presents a framework for nonlinear system identification of civil structures using sparsely measured dynamic output response of the structure. Using a sequential maximum likelihood estimation (MLE) approach, the ... -
Nonlinear Model Updating Using Recursive and Batch Bayesian Methods
(2020)This paper studies the performance of recursive and batch Bayesian methods for nonlinear model updating. Unscented Kalman filter (UKF) is selected to represent the recursive Bayesian method, and two UKF approaches are ... -
A novel model for resin infiltration in pin-assisted pultrusion
(2017)Based on the results of a comprehensive numerical study of pin-assisted pultrusion, we present a simple explicit model, which allows for the estimation of the infiltration depth as a function of measurable parameters. The ... -
Optimal experimental design for structural health monitoring applications
(2008)Successful structural health monitoring and condition assessment depends to a large extent on the sensor and actuator networks place on the structure as well as the excitation characteristics. An optimal experimental design ... -
Optimal Experimental Design Methodology for Parameter Estimation of Nonlinear Models
(2021)Experimental data are used to improve structural models and model-based predictions of output quantities of interest (QoI), that are crucial in making decisions regarding structural health, safety and performance. The ... -
Optimal sensor location for model parameter estimation in CFD
(2013)In this paper the optimal sensor location problem for the estimation of model parameters in computational fluid dynamics is presented. A Bayesian formulation is used to quantify the uncertainties in the model parameters ... -
Optimal sensor placement for parameter estimation and virtual sensing of strains on an offshore wind turbine considering sensor installation cost
(2022)This paper proposes an optimal sensor placement (OSP) framework for parameter estimation, virtual sensing, and condition monitoring using information theory. The framework uses a Bayesian OSP method combined with modal ... -
Optimization algorithms for system integration
(2008)This work outlines the optimization algorithms involved in integrating system analysis and measured data collected from a network of sensors. The integration is required for structural health monitoring problems arising ... -
Output-only fatigue prediction of uncertain steel structures
(2016)A fatigue estimation framework for steel structures is proposed in this study, under realistic assump-tions on the sensor network capacity and under the premise of uncertainty in the structural information available ... -
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 ... -
Pitch and flight path control with simultaneous forward gust rejection
(1999)The problem of rejecting atmospheric disturbances with simultaneous input-output decoupling of the pitch angle and the flight path angle of an aircraft, is studied. The problem is proven to be solvable for almost all flight ... -
Reliability-based optimal design of fluid filled tanks under seismic excitation
(2003)This work integrates developments in simplified dynamic modeling of unanchored fluid-filled tanks, stochastic modeling of earthquake loading time histories, probabilistic structural analysis tools, cost analyses, and ... -
Response prediction for horizontally loaded pile groups
(2003)The load-deflection curve simulating the response of pile foundation under horizontal loading is indispensable for the design of piles to resist lateral loads. A static horizontal pile load test or even an adequate p-y ... -
Rheological properties of colloidal silica grout for passive stabilization against liquefaction
(2018)Passive (site) stabilization is a novel technique for the mitigation of seismic liquefaction which uses low-pressure injection of colloidal silica in the pores of a granular soil. The applicability of colloidal silica as ...