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

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Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time image
ISBN-10:

0128170786

ISBN-13:

9780128170786

Edition: 1
Released: Feb 03, 2020
Publisher: Academic Press
Format: Paperback, 158 pages

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.

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