Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete TimeКНИГИ » СЕТЕВЫЕ ТЕХНОЛОГИИ
Название: Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time Автор: Jorge D. Rios, Alma Y. Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco Издательство: Academic Press Год: 2020 Формат: True PDF Страниц: 150 Размер: 10.8 Mb Язык: English
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. Provide in-depth analysis of neural control models and methodologies Presents a comprehensive review of common problems in real-life neural network systems Includes an analysis of potential applications, prototypes and future trends
Dynamical Systems with Applications using Python Название: Dynamical Systems with Applications using Python Автор: Stephen Lynch Издательство: Birkh?user Год: 2018 Страниц: 665 Формат: PDF, EPUB...
Навигация
Вход на сайт
Реклама
Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time 
