Skip to main content
Elsevier
View Cart

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

  • 1st Edition - November 16, 2018
  • Latest edition
  • Authors: Yang Li, Jianhua Zhang, Wu Qiong
  • Language: English

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

World Book Day celebration

Where learning shapes lives

Up to 25% off trusted resources that support research, study, and discovery.

Explore resources

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.

Key features

  • 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

Readership

Academics and researchers in control science and engineering, electrical engineering and applied mathematics

Table of contents

1. Basic Concepts

2. Nonlinear Systems Analysis Approach

3. Classical Nonlinear Systems Control

4. Advanced Nonlinear Systems Controller Design

5. Intelligent Methodology

6. Applications

Review quotes

"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

Product details

  • Edition: 1
  • Latest edition
  • Published: November 16, 2018
  • Language: English

About the authors

YL

Yang Li

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.
Affiliations and expertise
Lecturer, Institute of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China

JZ

Jianhua Zhang

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.
Affiliations and expertise
Associate Professor, Hebei University of Science and Technology, Shijiazhuang, China

WQ

Wu Qiong

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.
Affiliations and expertise
Lecturer of the School of English Language and Literature, Hebei University of Science and Technology, Shijiazhuang, China

View book on ScienceDirect

Read Adaptive Sliding Mode Neural Network Control for Nonlinear Systems on ScienceDirect