Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time

Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time
by: Jorge D. Rios,Alma Y. Alanis,Nancy Arana-Daniel,Carlos Lopez-Franco,Edgar N. Sanchez (Series Editor)
Paperback: 158 pages
Publisher: Academic Press (20 Jan. 2020)
Language: English
ISBN-10: 0128170786
ISBN-13: 9780128170786
Book Description
Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First,a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under uncertainties,then a RHONN is used to design neural observers for the same class of systems. Therefore,both neural models are used to synthesize controllers for trajectory tracking based on two methodologies: sliding mode control and Inverse Optimal Neural Control.
As well as considering the different neural control models and complications that are associated with them,this book also analyzes potential applications,prototypes and future trends