Πλοήγηση ανά Θέμα "Dynamical systems"
Αποτελέσματα 1-15 από 15
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Bayesian optimal experimental design for parameter estimation and response predictions in complex dynamical systems
(2017)A Bayesian optimal experimental design (OED) framework is revisited and applied to a number of structural dynamics problems. The objective is to optimize the design of the experiment such that the most informative data are ... -
Bifurcations and chaos in discrete-time gonorrhea model
(2019)A deterministic epidemic model for the spread of gonorrhea is investigated in discrete-time by taking into account the interval between successive clinical cases. It is shown that the discrete-time dynamical system exhibits ... -
Dynamic operation of daylighting and shading systems: A literature review
(2016)The primary goal of dynamic building envelopes is to meet and balance antagonistic performance criteria utilizing automatic operation. As opposed to static systems, automated shading and daylighting systems are increasingly ... -
Dynamics of nonlocal and local discrete Ginzburg–Landau equations: Global attractors and their congruence
(2022)Discrete Ginzburg–Landau (DGL) equations with non-local nonlinearities have been established as significant inherently discrete models in numerous physical contexts, similar to their counterparts with local nonlinear terms. ... -
HIERARCHICAL BAYESIAN INFERENCE FOR QUANTIFICATION OF UNCERTAINTY IN MULTI LEVEL MODELS OF DYNAMICAL SYSTEMS
(2021)Calibration of model parameters is increasingly playing a key role in the process of accurately predicting the responses of full-scale dynamical systems. Such systems often exhibit complexities arising from the assembling ... -
Hierarchical Bayesian learning framework for multi-level modeling using multi-level data
(2022)A hierarchical Bayesian learning framework is proposed to account for multi-level modeling in structural dynamics. In multi-level modeling the system is considered as a hierarchy of lower-level models, starting at the ... -
Hierarchical Bayesian operational modal analysis: Theory and computations
(2020)This paper presents a hierarchical Bayesian modeling framework for the uncertainty quantification in modal identification of linear dynamical systems using multiple vibration data sets. This novel framework integrates the ... -
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, ... -
Nonlinear supply and demand model with two interrelated markets
(2011)Our target in this paper is to observe how the presence of nonlinear terms in the supply and demand model changes the price behavior of the system. The dynamical analysis refers, mainly, to discrete dynamical systems. We ... -
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 ... -
Reliability analysis of dynamical systems
(2019)The use of reduced-order models in the context of reliability analysis of dynamical systems under stochastic excitation is explored in this chapter. A stochastic excitation model based on a point-source model is introduced, ... -
Reliability sensitivity analysis of dynamical systems
(2019)The reliability sensitivity analysis of systems subjected to stochastic loading is considered in this chapter. In particular, the change that the probability of failure undergoes due to changes in the distribution parameters ... -
Reliability-based design optimization
(2019)The solution of reliability-based design optimization problems by using reduced-order models is considered in this chapter. Specifically, problems involving high-dimensional stochastic dynamical systems are analyzed. The ... -
Sequential Bayesian estimation of state and input in dynamical systems using output-only measurements
(2019)The problem of joint estimation of the state and input in linear time-invariant dynamical systems is revisited proposing novel sequential Bayesian formulations. An appealing feature of the proposed method is the promise ... -
The Visual Boundary Recurrence Plot: A Closer Look into the Dynamics of Recurrence Plots
(2022)In this paper, we introduce a new graphical tool, the visual boundary recurrence plot, in order to provide a more detailed visualization of the well-established method of recurrence plots. In this approach, we are coloring ...