Identification and Control of Nonlinear Systems Using PID and ANN - Couverture souple

Shebani, Amer

 
9783330014343: Identification and Control of Nonlinear Systems Using PID and ANN

Synopsis

The aims of this work are the identification and control of non-linear systems. Investigation of control of non-linear systems using PID controller presented. An alternative artificial neural network to overcome the limitations associated with the backpropagation algorithm such as slow convergence and construction complexity is the radial basis function neural network (RBFNN) which has been widely used for solving many complex problems. The RBFNN used on this work to control of nonlinear systems.

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Présentation de l'éditeur

The aims of this work are the identification and control of non-linear systems. Investigation of control of non-linear systems using PID controller presented. An alternative artificial neural network to overcome the limitations associated with the backpropagation algorithm such as slow convergence and construction complexity is the radial basis function neural network (RBFNN) which has been widely used for solving many complex problems. The RBFNN used on this work to control of nonlinear systems.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.