Adaptive Sliding Mode Neural Network Control for Nonlinear Systems
- 1 Edición - 16 de noviembre de 2018
- Última edición
- Autores: Yang Li, Jianhua Zhang, Wu Qiong
- Idioma: Inglés
Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear systems basic knowledge, analysis and control methods, and applications in various fields. I… Leer más
Descripción
Descripción
Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear systems basic knowledge, analysis and control methods, and applications in various fields. It offers instructive examples and simulations, along with the source codes, and provides the basic architecture of control science and engineering.
Puntos claves
Puntos claves
- Introduces nonlinear systems' basic knowledge, analysis and control methods, along with applications in various fields
- Offers instructive examples and simulations, including source codes
- Provides the basic architecture of control science and engineering
De interès para
De interès para
Academics and researchers in control science and engineering, electrical engineering and applied mathematics
Índice
Índice
1. Basic Concepts
2. Nonlinear Systems Analysis Approach
3. Classical Nonlinear Systems Control
4. Advanced Nonlinear Systems Controller Design
5. Intelligent Methodology
6. Applications
Reseñas
Reseñas
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Publicado: 16 de noviembre de 2018
- Idioma: Inglés
Sobre los autores
Sobre los autores
YL
Yang Li
JZ
Jianhua Zhang
WQ