Adaptive Sliding Mode Neural Network Control for Nonlinear Systems
eBook - ePub

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

  1. 186 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

About this book

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

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Adaptive Sliding Mode Neural Network Control for Nonlinear Systems by Yang Li,Jianhua Zhang,Wu Qiong in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Mechanical Engineering. We have over one million books available in our catalogue for you to explore.
Chapter 1

Basic Concepts

Abstract

In Chapter 1, first, it studies stability analysis, including Lyapunov stability, Lyapunov asymptotic stability robust stability, Lyapunov uniform asymptotic stability, Lyapunov global asymptotic stability, Lyapunov instability, positive definite unction, Lyapunov function, Lyapunov stability theorem, and Lyapunov global uniform asymptotic stability theorem. Second, it studies nonlinear design tools, including adaptive control, sliding mode control, and U-model method.

Keywords

Adaptive Control; Lyapunov Stability; Robust Stability; Sliding Mode Control; U-model Method

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Author Biographies
  6. Preface
  7. Acknowledgments
  8. Introduction
  9. Chapter 1. Basic Concepts
  10. Chapter 2. Nonlinear Systems Analysis Approach
  11. Chapter 3. Classical Nonlinear Systems Control Methods
  12. Chapter 4. Advanced Nonlinear Systems Controller Design
  13. Chapter 5. Intelligent Methodology
  14. Chapter 6. Applications
  15. Index