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Adaptive Sliding Mode Neural Network Control for Nonlinear Systems de Yang Li

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems: Emerging Methodologies and Applications in Modelling, Identification and Control

Autor Yang Li, Jianhua Zhang, Wu Qiong
en Limba Engleză Paperback – 20 noi 2018
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.


  • 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

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

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