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...

Full description

Bibliographic Details
Main Authors: Li, Yang, editor 590611, Zhang, Jianhua, editor 648485, Wu, Qiong, editor 648486, ScienceDirect (Online service) 7722
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