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Augmented lagrangians with adaptive precision control for quadratic programming with equality constraints
(SpringerNew YorkEUA, 1999)
Augmented Lagrangians with adaptive precision control for quadratic programming with simple bounds and equality constraints
(Siam PublicationsPhiladelphiaEUA, 2003)
Análise de desempenho de trajetória de AGV seguidor de linha usando controle Fuzzy adaptativo
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2017-08-17)
Dynamics of automatic vehicle movement (Automatic Guided Vehicle), its associated with your
control system, and the adoption of traditional control techniques, whose parameter and tuning are
performed based on linear ...
Augmented Lagrangians with adaptive precision control for quadratic programming with equality constraints: Corrigendum and addendum
(Kluwer Academic PublDordrechtHolanda, 2002)
An adaptive system based on artificial neural networks for NPK fluid fertilizer application
(Elsevier B.V., 2000-01-01)
The application process of fluid fertilizers through variable rates implemented by classical techniques with feedback and conventional equipments can be inefficient or unstable. This paper proposes an open-loop control ...
An adaptive system based on artificial neural networks for NPK fluid fertilizer application
(Elsevier B.V., 2000-01-01)
The application process of fluid fertilizers through variable rates implemented by classical techniques with feedback and conventional equipments can be inefficient or unstable. This paper proposes an open-loop control ...
A fast electric load forecasting using adaptive neural networks
(2003-12-01)
This work presents a procedure for electric load forecasting based on adaptive multilayer feedforward neural networks trained by the Backpropagation algorithm. The neural network architecture is formulated by two parameters, ...
A fast electric load forecasting using adaptive neural networks
(2003-12-01)
This work presents a procedure for electric load forecasting based on adaptive multilayer feedforward neural networks trained by the Backpropagation algorithm. The neural network architecture is formulated by two parameters, ...
Local convergence of an inexact-restoration method and numerical experiments
(Springer/plenum PublishersNew YorkEUA, 2005)
Sistema de control automático de pasteurización
(Instituto Tecnológico de Costa Rica, 2015)
Recently, the demand for natural products has increased, this leads to companies to develop
and have more efficient processes; which is achieved through progressive automation of the
crucial elements of production. In ...