Neural Networks Modeling and Control

Applications for Unknown Nonlinear Delayed Systems in Discrete Time

von Alma Y. Alanis, Jorge D. Rios, Nancy Arana-Daniel

158 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Academic Press
• ISBN: 9780128170786
• Sprache: Englisch
• Erscheinungsdatum: 31.01.2020
• Größe: 235 x 191 mm
• Verlag: Elsevier Inc