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

Neural Networks Modeling and Control: Applications for Nonlinear Delayed Systems in Discrete Time Jorge D. Rios, Alma Y. Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco
Neural Networks Modelling and Control: Applications for Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time 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. Categories:
Computers – Hardware
Year:
2020
Publisher:
Academic Press
Language:
english
Pages:
158 / 151
ISBN 10:
0128170786
ISBN 13:
9780128170786
File:
109 MB