Cover for Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

A volume in Emerging Methodologies and Applications in Modelling

Book • 2019

Edited by:

Yang Li, Jianhua Zhang and Qiong Wu

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

A volume in Emerging Methodologies and Applications in Modelling

Book • 2019

 

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Cover for Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Edited by:

Yang Li, Jianhua Zhang and Qiong Wu

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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 full description

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  1. Full text access

    Front Matter

    Copyright

    Author Biographies

    Preface

    Acknowledgments

    Introduction

  2. Book chapterAbstract only

    Chapter 1 - Basic Concepts

    Pages 1-16

  3. Book chapterAbstract only

    Chapter 2 - Nonlinear Systems Analysis Approach

    Pages 17-42

  4. Book chapterAbstract only

    Chapter 3 - Classical Nonlinear Systems Control Methods

    Pages 43-62

  5. Book chapterAbstract only

    Chapter 4 - Advanced Nonlinear Systems Controller Design

    Pages 63-92

  6. Book chapterAbstract only

    Chapter 5 - Intelligent Methodology

    Pages 93-130

  7. Book chapterAbstract only

    Chapter 6 - Applications

    Pages 131-165

  8. Book chapterNo access

    Index

    Pages 167-172

About the book

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.

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
  • 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

Details

ISBN

978-0-12-815372-7

Language

English

Published

2019

Copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Imprint

Academic Press

DOI

https://doi.org/10.1016/C2017-0-02242-5

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Editors

Yang Li

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

Jianhua Zhang

Lecturer, Institute of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang, China

Qiong Wu

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