- Добавил: buratino
- Дата: 27-04-2020, 01:29
- Комментариев: 0
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.
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.