
Adaptive Sliding Mode Neural Network Control for Nonlinear Systems
Academic Press
Published on 21. November 2018
Book
Paperback/Softback
186 pages
978-0-12-815372-7 (ISBN)
Description
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.
Reviews / Votes
"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." --zbMATHMore details
Series
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Product notice
Paperback (trade)
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 10 mm
Weight
263 gr
ISBN-13
978-0-12-815372-7 (9780128153727)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Yang Li | Jianhua Zhang | Wu Qiong MA
Adaptive Sliding Mode Neural Network Control for Nonlinear Systems
E-Book
11/2018
Academic Press
€140.00
Available for download
Persons
Yang Li. Lecturer at the Institute of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China. She obtained her PhD from Yanshan University, China in 2014. She was a visiting student of the University of the West of England in 2012. Her main research interests are in the areas of sliding mode control, neural network control, time delay system and control applications. Jianhua Zhang. Associate professor in Hebei University of Science and Technology, Shijiazhuang, China. He obtained his BS degree from Jilin Normal University, China in 2003, his MS degree from Yanshan University, China in 2006 and his PhD from Yanshan University, China in 2011. His main research interests are in the areas of non-linear control systems, control systems design over network and intelligent control. Mrs Wu obtained her BA and MA degrees from Hebei University of Science and Technology, China in 2010 and the University of Sheffield, England in 2011, respectively. Her main research interests are in the areas of Corpus Linguistics, Translation, and Language teaching.
Author
Lecturer, Institute of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China
Associate Professor, Hebei University of Science and Technology, Shijiazhuang, China
Lecturer of the School of English Language and Literature, Hebei University of Science and Technology, Shijiazhuang, China
Content
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