986 resultados para Panvinio, Onofrio, 1529-1568.
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Port. grab. xil. a dos tintas
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Marca tip. en port. y en Y8v (Vaccaro, 393 y 396)
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Capitulares grab. xil.
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Capitulares grab. xil.
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Pie de imp. tomado del colofón en 3s3v
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An efficient approach is presented to improve the local and global approximation and modelling capability of Takagi-Sugeno (T-S) fuzzy model. The main aim is obtaining high function approximation accuracy. The main problem is that T-S identification method cannot be applied when the membership functions are overlapped by pairs. This restricts the use of the T-S method because this type of membership function has been widely used during the last two decades in the stability, controller design and are popular in industrial control applications. The approach developed here can be considered as a generalized version of T-S method with optimized performance in approximating nonlinear functions. A simple approach with few computational effort, based on the well known parameters' weighting method is suggested for tuning T-S parameters to improve the choice of the performance index and minimize it. A global fuzzy controller (FC) based Linear Quadratic Regulator (LQR) is proposed in order to show the effectiveness of the estimation method developed here in control applications. Illustrative examples of an inverted pendulum and Van der Pol system are chosen to evaluate the robustness and remarkable performance of the proposed method and the high accuracy obtained in approximating nonlinear and unstable systems locally and globally in comparison with the original T-S model. Simulation results indicate the potential, simplicity and generality of the algorithm.
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Obra atribuida a Giovanni Crastone
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Obra atribuida a Giovanni Crastone
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Marca tip. en port. (Sivestre. Marques, 708)
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Hojas imp. por ambas caras
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Segunda mención de imp. tomada del colofón
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Última mención de responsabilidad tomada del explicit en H6r
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This paper presents a multi-stage algorithm for the dynamic condition monitoring of a gear. The algorithm provides information referred to the gear status (fault or normal condition) and estimates the mesh stiffness per shaft revolution in case that any abnormality is detected. In the first stage, the analysis of coefficients generated through discrete wavelet transformation (DWT) is proposed as a fault detection and localization tool. The second stage consists in establishing the mesh stiffness reduction associated with local failures by applying a supervised learning mode and coupled with analytical models. To do this, a multi-layer perceptron neural network has been configured using as input features statistical parameters sensitive to torsional stiffness decrease and derived from wavelet transforms of the response signal. The proposed method is applied to the gear condition monitoring and results show that it can update the mesh dynamic properties of the gear on line.
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Precede al tit.: "El Conde de Buñol ... hizo imprimir la ... prematica siguiente, en el año 1619"
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Autor tomado de final de texto