A Proposed Wavenet Identifier and Controller System: Application of Wavenet to Nonlinear Dynamical Systems

ISBN 10: 365911782X / ISBN 13: 9783659117824
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A Proposed Wavenet Identifier and Controller System: Application of Wavenet to Nonlinear Dynamical Systems. N° de ref. de la librería

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Sinopsis: Wavelet network is a new type of neural networks. This network combines the wavelet theory and neural network in one structure. Wavenet is another term to describe adaptive wavelet network which used in dynamic applications. Wavenets are investigated to show their concepts and test their effectiveness over traditional neural networks. Simple Gradient Decent training algorithm is used as learning algorithm. A modified multidimensional input structure is proposed. Wavenet is used to identify nonlinear dynamical systems. Simulation results obtained from identifying these systems using wavenet and classical sigmoid neural network are compared. These results show that the wavenet gives better performance over classical sigmoid neural network in terms of minimum error and fast convergence. In addition, the wavenet is used in the design of two model-based controllers, the first is Inverse Feedforward Controller (IFC), and the second is one-step ahead Model-based Predictive Controller (MPC). They are applied successfully to a second order nonlinear system. The robustness of both controllers to noise and sudden changes in reference signal is presented with the simulation results.

Biografía del autor: Yasser H. Alwan has obtained his M.Sc in Control Engineering from University of Technology - Iraq in 2006 and B.Sc in Computer Engineering from the same university in 2002. Since then he has worked as an assistant lecturer in University of Diyala and then in University of Kufa.

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Título: A Proposed Wavenet Identifier and Controller...
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Yasser H Alwan
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Alwan, Yasser H.
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Descripción LAP Lambert Academic Publishing, 2012. Estado de conservación: New. This item is printed on demand for shipment within 3 working days. Nº de ref. de la librería KP9783659117824

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Yasser H Alwan
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Descripción LAP Lambert Academic Publishing, Germany, 2012. Paperback. Estado de conservación: New. Aufl.. 220 x 150 mm. Language: English . Brand New Book ***** Print on Demand *****.Wavelet network is a new type of neural networks. This network combines the wavelet theory and neural network in one structure. Wavenet is another term to describe adaptive wavelet network which used in dynamic applications. Wavenets are investigated to show their concepts and test their effectiveness over traditional neural networks. Simple Gradient Decent training algorithm is used as learning algorithm. A modified multidimensional input structure is proposed. Wavenet is used to identify nonlinear dynamical systems. Simulation results obtained from identifying these systems using wavenet and classical sigmoid neural network are compared. These results show that the wavenet gives better performance over classical sigmoid neural network in terms of minimum error and fast convergence. In addition, the wavenet is used in the design of two model-based controllers, the first is Inverse Feedforward Controller (IFC), and the second is one-step ahead Model-based Predictive Controller (MPC). They are applied successfully to a second order nonlinear system. The robustness of both controllers to noise and sudden changes in reference signal is presented with the simulation results. Nº de ref. de la librería AAV9783659117824

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Yasser H. Alwan
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Descripción LAP LAMBERT Academic Publishing. Paperback. Estado de conservación: New. Paperback. 116 pages. Dimensions: 8.7in. x 5.9in. x 0.3in.Wavelet network is a new type of neural networks. This network combines the wavelet theory and neural network in one structure. Wavenet is another term to describe adaptive wavelet network which used in dynamic applications. Wavenets are investigated to show their concepts and test their effectiveness over traditional neural networks. Simple Gradient Decent training algorithm is used as learning algorithm. A modified multidimensional input structure is proposed. Wavenet is used to identify nonlinear dynamical systems. Simulation results obtained from identifying these systems using wavenet and classical sigmoid neural network are compared. These results show that the wavenet gives better performance over classical sigmoid neural network in terms of minimum error and fast convergence. In addition, the wavenet is used in the design of two model-based controllers, the first is Inverse Feedforward Controller (IFC), and the second is one-step ahead Model-based Predictive Controller (MPC). They are applied successfully to a second order nonlinear system. The robustness of both controllers to noise and sudden changes in reference signal is presented with the simulation results. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Nº de ref. de la librería 9783659117824

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