Adaptive Sliding Mode Neural Network Control for Nonlinear Systems
- 1st Edition - November 16, 2018
- Authors: Yang Li, Jianhua Zhang, Wu Qiong
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 5 3 7 2 - 7
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 5 4 3 2 - 8
Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear systems basic knowledge, analysis and control methods, and applications in various fields. I… Read more
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Request a sales quoteAdaptive 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.
- 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
Academics and researchers in control science and engineering, electrical engineering and applied mathematics
1. Basic Concepts
2. Nonlinear Systems Analysis Approach
3. Classical Nonlinear Systems Control
4. Advanced Nonlinear Systems Controller Design
5. Intelligent Methodology
6. Applications
- No. of pages: 186
- Language: English
- Edition: 1
- Published: November 16, 2018
- Imprint: Academic Press
- Paperback ISBN: 9780128153727
- eBook ISBN: 9780128154328
YL
Yang Li
JZ
Jianhua Zhang
WQ