نتایج جستجو برای: armax identification

تعداد نتایج: 409430  

2011
Thiago Fintelman Padilha Jordana Eduardo Rezende Eliane Consuelo Alves Rabelo Anna Carolina Galvão Ferreira Marcelo Fouad Rabahi

Objective: To evaluate the effect that seasonality has on the occurrence of respiratory symptoms in a Brazilian city with a tropical climate. Methods: This was a cross-sectional study, in which data related to subjects who sought outpatient treatment at a primary health care clinic in the city of Goiânia, Brazil, were correlated with daily meteorological data. Over a one-year period, all the pa...

2008
Li He Miroslav Kárný

Bayesian parameter estimation and prediction of a linear-in-parameters model with colored noise is addressed. It is based on a novel mixture model called ARMMAX. ARMMAX is a finite mixture with its ARMAX components having a common ARX part. It assumes that the common ARX part describes a fixed deterministic input-output relationship and allows for varying characteristics of the driving colored ...

Journal: :Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2001

Journal: :IOP Conference Series: Materials Science and Engineering 2013

2005
Andrzej Królikowski Dariusz Horla T. Kubiak

In this paper, the amplitude and variance-constrained LQG control is considered for a plant given by discretetime ARMAX model. The minimization of constrained quadratic cost is approached by Kalman filter, approximation of the probability density function (pdf) of the state by the Gaussian one and by by tuning of the Lagrange multiplier. The obtained optimization algorithm is simulated for seco...

2016
Alexander Porshnev Valeriya Lakshina Ilya Redkin

We analyze the possibility of improving the prediction of stock market indicators by adding information about public mood expressed in Twitter posts. To estimate public mood, we analysed frequencies of 175 emotional markers words, emoticons, acronyms and abbreviations in more than two billion tweets collected via Twitter API over a period from 13.02.2013 to 22.04.2015. We explored the Granger c...

Journal: :Applied Energy 2022

Because physics-based building models are difficult to obtain as each is individual, there an increasing interest in generating suitable for MPC directly from measurement data. Machine learning methods have been widely applied this problem and validated mostly simulation; are, however, few studies on a direct comparison of different or validation real buildings be found the literature. Methods ...

2014
Andrea Petrella Sandro Sapio

How do changes in the market architecture affect the dynamics of deregulated electricity prices? We investigate this issue in the context of the Italian Power Exchange (IPEX), using data on the daily average day-ahead price (PUN) between April 2004 and December 2008. Estimates of baseline time series models (ARMAX and ARMAX-EGARCH) and their forecasting performances suggest that the trend in na...

2004
Michael R. Rickels Mark H. Schutta James F. Markmann Clyde F. Barker Ali Naji Karen L. Teff

Islet transplantation can provide metabolic stability for patients with type 1 diabetes; however, more than one donor pancreas is usually required to achieve insulin independence. To evaluate possible mechanistic defects underlying impaired graft function, we studied five subjects at 3 months and four subjects at 12 months following intraportal islet transplantation who had received comparable ...

Journal: :Applied Mathematics and Computer Science 2008
Tarek Khadir John V. Ringwood

Predictive Functional Control (PFC), belonging to the family of predictive control techniques, has been demonstrated as a powerful algorithm for controlling process plants. The input/output PFC formulation has been a particularly attractive paradigm for industrial processes, with a combination of simplicity and effectiveness. Though its use of a lag plus delay ARX/ARMAX model is justified in ma...

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