Uncertain Parameter
Mostrando 1-12 de 19 artigos, teses e dissertações.
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1. Sensitivity Analysis of Flexible Rotor Subjected to Interval Uncertainties
Abstract This paper aims at analyzing the sensitivity of the structural response of flexible rotors subjected to uncertain interval parameters. The interval approach encompasses both an uncertainty and sensitivity analyses. The uncertainty analysis consists in computing the interval uncertain structural responses by using the global optimization method. The
Lat. Am. j. solids struct.. Publicado em: 13/05/2019
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2. Effect of Surface Stress on the Buckling of Nonlocal Nanoplates Subject to Material Uncertainty
Abstract At the nano scale, the effect of surface stress becomes prominent as well as the so-called small scale effect. Furthermore due to difficulties in making accurate measurements at nano-scale as well as due to due to molecular defects and manufacturing tolerances, there exists a certain degree of uncertainty in the determination of the material propert
Lat. Am. j. solids struct.. Publicado em: 2015-09
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3. A dynamic extension for LgV controllers
A dynamic state feedback control structure is proposed in this paper. The scheme is conceived as an adaptive controller with the equilibrium in an LgV control law as the uncertain parameter, which allows the implementation of the controller for systems with unknown equilibrium. A new property of LgV controllers is given, and it is proven that this and other
Publicado em: 2011
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4. Iterative feedback tuning of uncertain state space systems
Iterative Feedback Tuning is a purely data driven tuning algorithm for optimizing control parameters based on closed loop data. The algorithm is designed to produce an unbiased estimate of the performance cost function gradient for iteratively improving the control parameters to achieve optimal loop performance. This tuning method has been developed for syst
Brazilian Journal of Chemical Engineering. Publicado em: 2010-09
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5. Computational impementation of Zadehs extension principle / Implementação computacional do princípio de extensão de Zadeh
In this work it will be presented a computational method, that allows to apply the fuzzy logic to the general mathematical functions, through the extension principle. This principle is used to extend the concepts of the classical theory for the theory of the fuzzy sets, that allow to treat mathematical expressions including uncertain quantity in their parame
Publicado em: 2010
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6. Methods for truck dispatching in open-pit mining.
Material transportation is one of the most important aspects of open-pit mine operations. The problem usually involves a truck dispatching system in which decisions on truck assignments and destinations are taken in real-time. Due to its significance, several decision systems for this problem have been developed in the last few years, improving productivity
Publicado em: 2010
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7. Filtros de Kalman robustos para sistemas dinâmicos singulares em tempo discreto / Robust Kalman filters for discrete-time singular systems
This thesis considers the optimal robust estimates problem for discrete-time singular dymanic systems. New recursive algorithms are developed for the Kalman filtered and predicted estimated recursions with the corresponding Riccati equations. The singular robust Kalman type filter and the corresponding recursive Riccati equation arer obtained in their most g
Publicado em: 2009
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8. Realimentação de saida robusta a partir de controladores dependentes de parametros para sistemas lineares incertos discretos no tempo / Robust output feedback starting from parameter-dependent controllers for discrete-time uncertain linear systems
Esta dissertação trata de um dos mais importantes problemas em aberto na teoria de controle, o projeto de controladores por realimentação estática de saída. A principal contribuição é propor um método para computar controladores robustos estáticos por realimentação de saída para sistemas lineares incertos discretos no tempo, usando um controlad
Publicado em: 2009
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9. Zadehâs extension principle applied to now monotonous functions with two parameters fuzzy / PrincÃpio de extensÃo de Zadeh aplicado a funÃÃes nÃo monÃtonas com dois parÃmetros fuzzy
Serà apresentada neste trabalho uma metodologia computacional que permite aplicar o PrincÃpio de ExtensÃo para funÃÃes nÃo monÃtonas com dois parÃmetros fuzzy. Esse princÃpio à um conceito bÃsico da Teoria dos Conjuntos Fuzzy que sustenta a extensÃo das expressÃes matemÃticas do domÃnio clÃssico ao domÃnio fuzzy. Para aplicar e avaliar a met
Publicado em: 2009
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10. Timoshenko beam with uncertainty on the boundary conditions
In mechanical system modeling, uncertainties are present and, to improve the predictability of the models, they should be taken into account. This work discusses uncertainties present in boundary conditions using the model of a vibrating Timoshenko beam, free in one end and pinned with rotation constrained by a linear elastic torsional spring in the other en
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2008-12
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11. Controle preditivo robusto de sistemas hibridos incertos integrando restrições, logica, e dinamica baseada em series de funções ortonormais / Robust model based predictive control of uncertain hybrid systems integrating constraints, logic, and dynamics based on orthonormal series function
Model-based Predictive Control (MPC) has been attracting interest in both academic and industrial areas since the 1970 s. The MPC methodology has been recently extended to a class of hybrid systems described by dynamics and logic rules. Logical propositions are performed by using, for example, IF /THEN/ELSE operators. Due to performance requirements, the non
Publicado em: 2006
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12. Estimação dos parâmetros da máquina síncrona e seu sistema de excitação / Estimation of the parameter of synchronous machine and its excitation system
In this work a methodology to estimate parameters of synchronous machines and their excitation system based on trajectory sensitivity technique and system synchronization is proposed. Many methodologies for parameter estimation have been proposed in the literature, each one with advantages and desadvantages. However, only some of them are adequate to estimat
Publicado em: 2005