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Robust model predictive control of Hammerstein systems
(Nova Science Publishers, 2015)
There are very few controller design techniques that can be proven to stabilize processes in the presence of nonlinearities and constraints. Model predictive control (MPC) is one of these techniques. For this reason, there ...
A set of linear equations to calculate the steady-state operation of an electrical distribution system
(2011-12-19)
In this paper, the calculation of the steady-state operation of a radial/meshed electrical distribution system (EDS) through solving a system of linear equations (non-iterative load flow) is presented. The constant power ...
A set of linear equations to calculate the steady-state operation of an electrical distribution system
(2011-12-19)
In this paper, the calculation of the steady-state operation of a radial/meshed electrical distribution system (EDS) through solving a system of linear equations (non-iterative load flow) is presented. The constant power ...
LINEAR PROGRAMMING: A CONTEXTUALIZATION BY USING LINEAR SYSTEMSProgramação linear: Uma Contextualização a Partir de Sistemas Lineares
(Universidade Federal de Santa Maria, 2015)
Robust estimators in a generalized partly linear regression model under monotony constraints
(Springer, 2019-02)
In this paper, we consider the situation in which the observations follow an isotonic generalized partly linear model. Under this model, the mean of the responses is modelled, through a link function, linearly on some ...
Testing in generalized partly linear models: A robust approach
(Elsevier, 2013-01)
In this paper, we introduce a family of robust statistics which allow to decide between a parametric model and a semiparametric one. More precisely, under a generalized partially linear model, i.e., when the observations ...
Robust inference in partially linear models with missing responses
(Elsevier Science, 2014-11)
We consider robust testing on the regression parameter of a partially linear regression model, where missing responses are allowed. We derive the asymptotic behavior of the proposed test statistic under the null and ...
Robust Estimates in Generalized Partially Linear Single-Index Models
(Springer, 2012-06)
A natural generalization of the well known generalized linear models is to allow only for some of the predictors to be modeled linearly while others are modeled nonparametrically. However, this model can face the so called ...
On a partly linear autoregressive model with moving average errors
(Taylor & Francis, 2010-08)
In this paper, we generalise the partly linear autoregression model considered in the literature by including moving average errors when we want to allow a large dependence to the past observations. The strong ergodicity ...