Browsing by Subject "Parameter uncertainty"
Now showing items 1-6 of 6
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Hierarchical Bayesian Model Updating for Nonlinear Structures Using Response Time Histories
(2022)This paper presents a novel hierarchical Bayesian modeling (HBM) framework for the model updating and response predictions of dynamic systems with material nonlinearity using multiple data sets consisting of measured ... -
Nonlinear model updating through a hierarchical Bayesian modeling framework
(2022)A new time-domain probabilistic technique based on hierarchical Bayesian modeling (HBM) framework is proposed for calibration and uncertainty quantification of hysteretic type nonlinearities of dynamical systems. Specifically, ... -
Robust optimal sensor placement for response reconstruction using output-only vibration measurements
(2020)Vibration measurements taken from various locations in a structure are used to improve models and model-based predictions of output quantities of interest (QoI). Such improved models and predictions can be used to update ... -
A Robust Predictive Control Approach for Underwater Robotic Vehicles
(2020)This article presents a robust nonlinear model predictive control (NMPC) scheme for autonomous navigation of underwater robotic vehicles operating in a constrained workspace including the static obstacles. In particular, ... -
A stochastic optimization framework for the restoration of an over-exploited aquifer
(2016)This study investigates the impact of hydraulic conductivity uncertainty on the sustainable management of the aquifer of Lake Karla, Greece, using the stochastic optimization approach. The lack of surface water resources ... -
A unified sampling-based framework for optimal sensor placement considering parameter and prediction inference
(2021)We present a Bayesian framework for model-based optimal sensor placement. Our interest lies in minimizing the uncertainty on predictions of a particular response quantity of interest, with parameter estimation being an ...