Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

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  • Publisher : Academic Press
  • Release : 16 November 2018
  • ISBN : 9780128154328
  • Page : 186 pages
  • Rating : 4.5/5 from 103 voters

Download Adaptive Sliding Mode Neural Network Control for Nonlinear Systems in PDF, Epub and Kindle

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

GET THIS BOOK

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems
  • Author : Yang Li,Jianhua Zhang,Wu Qiong
  • Publisher : Academic Press
  • Release Date : 2018-11-16
  • ISBN : 9780128154328
GET THIS BOOKAdaptive 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 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

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems
  • Author : Yang Li,Jianhua Zhang,Wu Qiong
  • Publisher : Academic Press
  • Release Date : 2018-09
  • ISBN : 0128153725
GET THIS BOOKAdaptive 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 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

Theory and Practice of Control and Systems

Theory and Practice of Control and Systems
  • Author : A Tornambe,G Conte,A M Perdon
  • Publisher : World Scientific
  • Release Date : 1999-01-04
  • ISBN : 9789814632461
GET THIS BOOKTheory and Practice of Control and Systems

This volume gathers together all the lectures presented at the 6th IEEE Mediterranean Conference. It focuses on the mathematical aspects in the theory and practice of control and systems, including stability and stabilizability, robust control, adaptive control, robotics and manufacturing; these topics are under intense investigation and development in the engineering and mathematics communities. The volume should have immediate appeal for a large group of engineers and mathematicians who are interested in very abstract as well as very concrete aspects

Sliding Mode Control

Sliding Mode Control
  • Author : Andrzej Bartoszewicz
  • Publisher : BoD – Books on Demand
  • Release Date : 2011-04-11
  • ISBN : 9789533071626
GET THIS BOOKSliding Mode Control

The main objective of this monograph is to present a broad range of well worked out, recent application studies as well as theoretical contributions in the field of sliding mode control system analysis and design. The contributions presented here include new theoretical developments as well as successful applications of variable structure controllers primarily in the field of power electronics, electric drives and motion steering systems. They enrich the current state of the art, and motivate and encourage new ideas and

Modern Adaptive Fuzzy Control Systems

Modern Adaptive Fuzzy Control Systems
  • Author : Ardashir Mohammadzadeh,Mohammad Hosein Sabzalian,Chunwei Zhang,Oscar Castillo,Rathinasamy Sakthivel,Fayez F. M. El-Sousy
  • Publisher : Springer Nature
  • Release Date : 2022-12-04
  • ISBN : 9783031173936
GET THIS BOOKModern Adaptive Fuzzy Control Systems

This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simulations in the MATLAB programming language. Fuzzy systems, especially, type-2 neuro-fuzzy systems, are now used extensively in various engineering fields for different purposes. In plain language, this book aims to practically explain fuzzy sys-tems and different methods of training and optimizing these systems. For this purpose, type-2 neuro-fuzzy systems are first analyzed along with various methods of

Sliding Mode Control and Observation

Sliding Mode Control and Observation
  • Author : Yuri Shtessel,Christopher Edwards,Leonid Fridman,Arie Levant
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-06-01
  • ISBN : 9780817648930
GET THIS BOOKSliding Mode Control and Observation

The sliding mode control methodology has proven effective in dealing with complex dynamical systems affected by disturbances, uncertainties and unmodeled dynamics. Robust control technology based on this methodology has been applied to many real-world problems, especially in the areas of aerospace control, electric power systems, electromechanical systems, and robotics. Sliding Mode Control and Observation represents the first textbook that starts with classical sliding mode control techniques and progresses toward newly developed higher-order sliding mode control and observation algorithms and their

Control and Mechatronics

Control and Mechatronics
  • Author : Bodgan Wilamowski,J. David Irwin
  • Publisher : CRC Press
  • Release Date : 2018-10-08
  • ISBN : 9781351834292
GET THIS BOOKControl and Mechatronics

The Industrial Electronics Handbook, Second Edition combines traditional and newer, more specialized knowledge that will help industrial electronics engineers develop practical solutions for the design and implementation of high-power applications. Embracing the broad technological scope of the field, this collection explores fundamental areas, including analog and digital circuits, electronics, electromagnetic machines, signal processing, and industrial control and communications systems. It also facilitates the use of intelligent systems—such as neural networks, fuzzy systems, and evolutionary methods—in terms of a

Sliding Mode Control Using MATLAB

Sliding Mode Control Using MATLAB
  • Author : Jinkun Liu
  • Publisher : Academic Press
  • Release Date : 2017-05-25
  • ISBN : 9780128026700
GET THIS BOOKSliding Mode Control Using MATLAB

Sliding Mode Control Using MATLAB provides many sliding mode controller design examples, along with simulation examples and MATLAB® programs. Following the review of sliding mode control, the book includes sliding mode control for continuous systems, robust adaptive sliding mode control, sliding mode control for underactuated systems, backstepping, and dynamic surface sliding mode control, sliding mode control based on filter and observer, sliding mode control for discrete systems, fuzzy sliding mode control, neural network sliding mode control, and sliding mode control

Adaptive-Robust Control with Limited Knowledge on Systems Dynamics

Adaptive-Robust Control with Limited Knowledge on Systems Dynamics
  • Author : Spandan Roy,Indra Narayan Kar
  • Publisher : Springer Nature
  • Release Date : 2019-10-08
  • ISBN : 9789811506406
GET THIS BOOKAdaptive-Robust Control with Limited Knowledge on Systems Dynamics

The book investigates the role of artificial input delay in approximating unknown system dynamics, referred to as time-delayed control (TDC), and provides novel solutions to current design issues in TDC. Its central focus is on designing adaptive-switching gain-based robust control (ARC) for a class of Euler–Lagrange (EL) systems with minimal or no knowledge of the system dynamics parameters. The newly proposed TDC-based ARC tackles the commonly observed over- and under-estimation issues in switching gain. The consideration of EL systems

Computational Intelligence and Intelligent Systems

Computational Intelligence and Intelligent Systems
  • Author : Zhenhua Li
  • Publisher : Springer
  • Release Date : 2009-11-03
  • ISBN : 9783642049620
GET THIS BOOKComputational Intelligence and Intelligent Systems

Volumes CCIS 51 and LNCS 5812 constitute the proceedings of the Fourth Interational Symposium on Intelligence Computation and Applications, ISICA 2009, held in Huangshi, China, during October 23-25. ISICA 2009 attracted over 300 submissions. Through rigorous reviews, 58 papers were included in LNCS 5821, and 54 papers were collected in CCIS 51. ISICA conferences are one of the first series of international conferences on computational intelligence that combine elements of learning, adaptation, evolution and fuzzy logic to create programs as alternative solutions to artificial intelligence.

Applications of Sliding Mode Control in Science and Engineering

Applications of Sliding Mode Control in Science and Engineering
  • Author : Sundarapandian Vaidyanathan,Chang-Hua Lien
  • Publisher : Springer
  • Release Date : 2017-04-06
  • ISBN : 9783319555980
GET THIS BOOKApplications of Sliding Mode Control in Science and Engineering

Gathering 20 chapters contributed by respected experts, this book reports on the latest advances in and applications of sliding mode control in science and engineering. The respective chapters address applications of sliding mode control in the broad areas of chaos theory, robotics, electrical engineering, physics, chemical engineering, memristors, mechanical engineering, environmental engineering, finance, and biology. Special emphasis has been given to papers that offer practical solutions, and which examine design and modeling involving new types of sliding mode control such as

Sliding Mode Control Methodology in the Applications of Industrial Power Systems

Sliding Mode Control Methodology in the Applications of Industrial Power Systems
  • Author : Jianxing Liu,Yabin Gao,Yunfei Yin,Jiahui Wang,Wensheng Luo,Guanghui Sun
  • Publisher : Springer Nature
  • Release Date : 2019-10-23
  • ISBN : 9783030306557
GET THIS BOOKSliding Mode Control Methodology in the Applications of Industrial Power Systems

This book presents recent advanced techniques in sliding mode control and observer design for industrial power systems, focusing on their applications in polymer electrolyte membrane fuel cells and power converters. Readers will find not only valuable new fault detection and isolation techniques based on sliding mode control and observers, but also a number of robust control and estimation methodologies combined with fuzzy neural networks and extended state observer methods. The book also provides necessary experimental and simulation examples for proton

Mathematical Treatment of Nanomaterials and Neural Networks

Mathematical Treatment of Nanomaterials and Neural Networks
  • Author : Jia-Bao Liu,Muhammad Javaid,Shaohui Wang,Jinde Cao
  • Publisher : Frontiers Media SA
  • Release Date : 2021-12-03
  • ISBN : 9782889717972
GET THIS BOOKMathematical Treatment of Nanomaterials and Neural Networks

Advances in Neural Networks - ISNN 2006

Advances in Neural Networks - ISNN 2006
  • Author : Jun Wang,Zhang Yi,Jacek M. Zurada,Bao-Liang Lu,Yin Hujun
  • Publisher : Springer
  • Release Date : 2006-05-10
  • ISBN : 9783540344384
GET THIS BOOKAdvances in Neural Networks - ISNN 2006

This is Volume II of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, data preprocessing, pattern classification, computer vision, image and signal processing, system modeling, robotic systems, transportation systems, communication networks, information security, fault detection, financial analysis, bioinformatics, biomedical and industrial applications, and more.

Proceedings of the 4th International Conference on Electrical Engineering and Control Applications

Proceedings of the 4th International Conference on Electrical Engineering and Control Applications
  • Author : Sofiane Bououden,Mohammed Chadli,Salim Ziani,Ivan Zelinka
  • Publisher : Springer Nature
  • Release Date : 2020-09-29
  • ISBN : 9789811564031
GET THIS BOOKProceedings of the 4th International Conference on Electrical Engineering and Control Applications

This book gathers papers presented during the 4th International Conference on Electrical Engineering and Control Applications. It covers new control system models, troubleshooting tips and complex system requirements, such as increased speed, precision and remote capabilities. Additionally, the papers discuss not only the engineering aspects of signal processing and various practical issues in the broad field of information transmission, but also novel technologies for communication networks and modern antenna design. This book is intended for researchers, engineers and advanced postgraduate