Modeling seasonal time series.
Colojoară, Alexandra (2006)
Surveys in Mathematics and its Applications
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Displaying similar documents to “Uncertain input data problems and the worst scenario method”
Modeling seasonal time series.
Probabilistic and fuzzy arithmetic approaches for the treatment of uncertainties in the installation of torpedo piles.
Kunitaki, Denise Margareth Kazue Nishimura, de Lima, Beatriz Souza Leite Pires, Evsukoff, Alexandre Gonçalves, Jacob, Breno Pinheiro (2008)
Mathematical Problems in Engineering
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On multiple positive solutions of positone and non-positone problems.
Corrêa, F.J.S.A. (1999)
Abstract and Applied Analysis
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On fuzzy input data and the worst scenario method
Jan Chleboun (2003)
Applications of Mathematics
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In practice, input data entering a state problem are almost always uncertain to some extent. Thus it is natural to consider a set of admissible input data instead of a fixed and unique input. The worst scenario method takes into account all states generated by and maximizes a functional criterion reflecting a particular feature of the state solution, as local stress, displacement, or temperature, for instance. An increase in the criterion value indicates a deterioration in the featured...
A new approach for studying fuzzy functional equations.
Deeba, Elias, De Korvin, Andre (2001)
International Journal of Mathematics and Mathematical Sciences
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Dissertations
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Kybernetika
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Fuzzy controller applications in stand-alone photovoltaic systems.
Joaquín Cañada Bago, Sebastián García Galán, Jorge Aguilera, Juan Ramón Velasco, Luis Magdalena (2002)
Mathware and Soft Computing
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One of foremost problems in stand-alone photovoltaic systems consists on the election of a strategy for charge controllers. The charge controllers main function is the accumulation system protection, and this leads to an extension of the batteries lifetime, thus reducing the long term economic cost of the installation. This document describes a Fuzzy Logic based charge controller. In order to show the designed charge controller operation, firstly, a succession of simulations have been...
Indirect adaptive controller based on a self-structuring fuzzy system for nonlinear modeling and control
Ruiyun Qi, Mietek A. Brdys (2009)
International Journal of Applied Mathematics and Computer Science
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In this paper, a unified nonlinear modeling and control scheme is presented. A self-structuring Takagi-Sugeno (T-S) fuzzy model is used to approximate the unknown nonlinear plant based on I/O data collected on-line. Both the structure and the parameters of the T-S fuzzy model are updated by an on-line clustering method and a recursive least squares estimation (RLSE) algorithm. The rules of the fuzzy model can be added, replaced or deleted on-line to allow a more flexible and compact...