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Bayesian Melding Estimation of a Stochastic SEIR Model
(Taylor & Francis IncPhiladelphiaEUA, 2010)
Extrapolation of AR models using cubic splines for damage progression evaluation in composite structures
(2021-02-01)
This paper presents the potentiality of the use of extrapolation of a set of Auto-Regressive (AR) models to inspect a future damage sensitive indices based on changes in one-step-ahead prediction errors. The key idea is ...
Bayesian Analysis for Errors in Variables with Changepoint Models
(UNIV NAC COLOMBIA, DEPT ESTADISTICABOGOTA DC, 2012)
Changepoint regression models have originally been developed in connection with applications in quality control, where a change from the in-control to the out-of-control state has to be detected based on the avaliable ...
Kinetics and Modeling of Fatty Alcohol Ethoxylation in an Industrial Spray Loop Reactor
(WILEY-BLACKWELL, 2011)
The kinetics of the ethoxylation of fatty alcohols catalyzed by potassium hydroxide was studied to obtain the rate constants for modeling of the industrial process. Experimental data obtained in a lab-scale semibatch ...
A least cost transmission planning model considering operation cost
(2014-02-05)
Existing transmission planning models consider basic aspects of the problem. In practice, a transmissionutility needs to model other important details such as operation cost of the power system. In this article, a least ...
Predictive ability of alternative models for genetic analysis of clinical mastitis
(Wiley-blackwellMaldenEUA, 2012)
Statistical analysis of controlled calibration model with replicates
(Taylor & Francis LtdAbingdonInglaterra, 2013)
Nonlinear Dynamic Average Model of a DC-DC Converter
(Institute Of Electrical And Electronics Engineers, 2014-08)
A nonlinear dynamical average model of a dc-dc converter is presented. The converter under study has a particular feature. In this converter, classical average analysis cannot be applied because the ripple cannot be neglected ...
Stabilizing controller design for uncertain nonlinear systems using fuzzy models
(Institute of Electrical and Electronics Engineers (IEEE), 1999-04-01)
A Lyapunov-based stabilizing control design method for uncertain nonlinear dynamical systems using fuzzy models is proposed. The controller is constructed using a design model of the dynamical process to be controlled. The ...
Volterra-type models for nonlinear systems identification
(Elsevier Science Inc, 2014-05)
In this work, multi-input multi-output (MIMO) nonlinear process identification is dealt with. In particular, two Volterra-type models are discussed in the context of system identification. These models are: Memory Polynomial ...