Adaptive Sliding Mode Neural Network Control for Nonlinear Systems: Emerging Methodologies and Applications in Modelling, Identification and Control
Autor Yang Li, Jianhua Zhang, Wu Qiongen Limba Engleză Paperback – 21 noi 2018
- 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
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Specificații
ISBN-13: 9780128153727
ISBN-10: 0128153725
Pagini: 186
Dimensiuni: 152 x 229 x 11 mm
Greutate: 0.26 kg
Editura: ELSEVIER SCIENCE
Seria Emerging Methodologies and Applications in Modelling, Identification and Control
ISBN-10: 0128153725
Pagini: 186
Dimensiuni: 152 x 229 x 11 mm
Greutate: 0.26 kg
Editura: ELSEVIER SCIENCE
Seria Emerging Methodologies and Applications in Modelling, Identification and Control
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Cuprins
1. Basic Concepts
2. Nonlinear Systems Analysis Approach
3. Classical Nonlinear Systems Control
4. Advanced Nonlinear Systems Controller Design
5. Intelligent Methodology
6. Applications
2. Nonlinear Systems Analysis Approach
3. Classical Nonlinear Systems Control
4. Advanced Nonlinear Systems Controller Design
5. Intelligent Methodology
6. Applications
Recenzii
"The book is well organized and presents the most important adaptive sliding mode neural network control method for nonlinear systems. Suitable for senior undergraduate and graduate students as well as practical engineers, scientists and researchers interested in adaptive sliding mode neural network control for nonlinear system." --zbMATH