Adaptive Sliding Mode Neural Network Control for Nonlinear Systems /
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 contr...
Main Authors: | , , , |
---|---|
Format: | software, multimedia |
Language: | eng |
Published: |
London : Academic Press,
2019
|
Subjects: | |
Online Access: | https://www.sciencedirect.com/science/book/9780128153727 |
_version_ | 1826472279039541248 |
---|---|
author | Li, Yang, editor 590611 Zhang, Jianhua, editor 648485 Wu, Qiong, editor 648486 ScienceDirect (Online service) 7722 |
author_facet | Li, Yang, editor 590611 Zhang, Jianhua, editor 648485 Wu, Qiong, editor 648486 ScienceDirect (Online service) 7722 |
author_sort | Li, Yang, editor 590611 |
collection | OCEAN |
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. |
first_indexed | 2024-03-05T17:16:05Z |
format | software, multimedia |
id | KOHA-OAI-TEST:603816 |
institution | Universiti Teknologi Malaysia - OCEAN |
language | eng |
last_indexed | 2024-03-05T17:16:05Z |
publishDate | 2019 |
publisher | London : Academic Press, |
record_format | dspace |
spelling | KOHA-OAI-TEST:6038162023-10-19T00:49:58ZAdaptive Sliding Mode Neural Network Control for Nonlinear Systems / Li, Yang, editor 590611 Zhang, Jianhua, editor 648485 Wu, Qiong, editor 648486 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 London : Academic Press,2019©2019engAdaptive 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.Includes index.1. Basic Concepts -- 2. Nonlinear Systems Analysis Approach -- 3. Classical Nonlinear Systems Control -- 4. Advanced Nonlinear Systems Controller Design -- 5. Intelligent Methodology -- 6. ApplicationsAdaptive 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.Artificial neural networkshttps://www.sciencedirect.com/science/book/9780128153727URN:ISBN:9780128153727Remote access restricted to users with a valid UTM ID via VPN. |
spellingShingle | Artificial neural networks Li, Yang, editor 590611 Zhang, Jianhua, editor 648485 Wu, Qiong, editor 648486 ScienceDirect (Online service) 7722 Adaptive Sliding Mode Neural Network Control for Nonlinear Systems / |
title | Adaptive Sliding Mode Neural Network Control for Nonlinear Systems / |
title_full | Adaptive Sliding Mode Neural Network Control for Nonlinear Systems / |
title_fullStr | Adaptive Sliding Mode Neural Network Control for Nonlinear Systems / |
title_full_unstemmed | Adaptive Sliding Mode Neural Network Control for Nonlinear Systems / |
title_short | Adaptive Sliding Mode Neural Network Control for Nonlinear Systems / |
title_sort | adaptive sliding mode neural network control for nonlinear systems |
topic | Artificial neural networks |
url | https://www.sciencedirect.com/science/book/9780128153727 |
work_keys_str_mv | AT liyangeditor590611 adaptiveslidingmodeneuralnetworkcontrolfornonlinearsystems AT zhangjianhuaeditor648485 adaptiveslidingmodeneuralnetworkcontrolfornonlinearsystems AT wuqiongeditor648486 adaptiveslidingmodeneuralnetworkcontrolfornonlinearsystems AT sciencedirectonlineservice7722 adaptiveslidingmodeneuralnetworkcontrolfornonlinearsystems |