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 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

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  • Author : Yang Li
  • Publisher : Academic Press
  • Pages : 186 pages
  • ISBN : 0128154322
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKAdaptive Sliding Mode Neural Network Control for Nonlinear Systems

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 : 16 November 2018
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

Identification and Adaptive Control for Nonlinear Systems and Applications

Identification and Adaptive Control for Nonlinear Systems and Applications
  • Author : Jianhua Zhang,Yang Li,Qiang Chen
  • Publisher : Academic Press
  • Release : 15 March 2022
GET THIS BOOKIdentification and Adaptive Control for Nonlinear Systems and Applications

Identification and Adaptive Control for Nonlinear Systems and Applications: Applied Mathematics in Control Engineering introduces nonlinear systems concepts, system analysis, system control methods and applications in various fields. The major contribution of the book includes: (1) The basic concepts of nonlinear systems stability analysis and nonlinear systems control method. (2) The stability analysis of complex nonlinear system with adaptive neural networks control. (3) The nonlinear systems adaptive sliding mode controller design of complex nonlinear systems. (4) Some industrial application. The book gives an introduction

Advances in Natural Computation

Advances in Natural Computation
  • Author : Lipo Wang,Ke Chen,Yew Soon Ong
  • Publisher : Springer
  • Release : 25 August 2005
GET THIS BOOKAdvances in Natural Computation

This book and its sister volumes, i.e., LNCS vols. 3610, 3611, and 3612, are the proceedings of the 1st International Conference on Natural Computation (ICNC 2005), jointly held with the 2nd International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2005, LNAI vols. 3613 and 3614) from 27 to 29 August 2005 in Changsha, Hunan, China.

Advances in Natural Computation

Advances in Natural Computation
  • Author : Ke Chen
  • Publisher : Springer Science & Business Media
  • Release : 17 August 2005
GET THIS BOOKAdvances in Natural Computation

The three volume set LNCS 3610, LNCS 3611, and LNCS 3612 constitutes the refereed proceedings of the First International Conference on Natural Computation, ICNC 2005, held in Changsha, China, in August 2005 jointly with the Second International Conference on Fuzzy Systems and Knowledge Discovery FSKD 2005 (LNAI volumes 3613 and 3614).The program committee selected 313 carefully revised full papers and 189 short papers for presentation in three volumes from 1887 submissions. The first volume includes all the contributions related to learning algorithms and architectures in neural networks, neurodynamics, statistical neural

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 : 06 April 2017
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

Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation

Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation
  • Author : Mou Chen,Shuyi Shao,Peng Shi
  • Publisher : John Wiley & Sons
  • Release : 20 October 2017
GET THIS BOOKRobust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation

A treatise on investigating tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation Robust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation provides the reader with a good understanding on how to achieve tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation. Although some texts have touched upon control of fractional-order systems, the issues of input saturation and disturbances have rarely been considered

Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation

Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation
  • Author : Mou Chen,Shuyi Shao,Peng Shi
  • Publisher : John Wiley & Sons
  • Release : 20 October 2017
GET THIS BOOKRobust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation

A treatise on investigating tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation Robust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation provides the reader with a good understanding on how to achieve tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation. Although some texts have touched upon control of fractional-order systems, the issues of input saturation and disturbances have rarely been considered

Advances and Applications in Sliding Mode Control systems

Advances and Applications in Sliding Mode Control systems
  • Author : Ahmad Taher Azar,Quanmin Zhu
  • Publisher : Springer
  • Release : 01 November 2014
GET THIS BOOKAdvances and Applications in Sliding Mode Control systems

This book describes the advances and applications in Sliding mode control (SMC) which is widely used as a powerful method to tackle uncertain nonlinear systems. The book is organized into 21 chapters which have been organised by the editors to reflect the various themes of sliding mode control. The book provides the reader with a broad range of material from first principles up to the current state of the art in the area of SMC and observation presented in a clear,

Self-Learning and Adaptive Algorithms for Business Applications

Self-Learning and Adaptive Algorithms for Business Applications
  • Author : Zhengbing Hu,Yevgeniy V. Bodyanskiy,Oleksii Tyshchenko
  • Publisher : Emerald Group Publishing
  • Release : 25 June 2019
GET THIS BOOKSelf-Learning and Adaptive Algorithms for Business Applications

In this guide designed for researchers and students of computer science, readers will find a resource for how to apply methods that work on real-life problems to their challenging applications, and a go-to work that makes fuzzy clustering issues and aspects clear.

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 : 04 January 1999
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

Fuzzy Systems: Concepts, Methodologies, Tools, and Applications

Fuzzy Systems: Concepts, Methodologies, Tools, and Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 22 February 2017
GET THIS BOOKFuzzy Systems: Concepts, Methodologies, Tools, and Applications

There are a myriad of mathematical problems that cannot be solved using traditional methods. The development of fuzzy expert systems has provided new opportunities for problem-solving amidst uncertainties. Fuzzy Systems: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source on the latest scholarly research and developments in fuzzy rule-based methods and examines both theoretical foundations and real-world utilization of these logic sets. Featuring a range of extensive coverage across innovative topics, such as fuzzy logic, rule-based systems, and fuzzy

Handbook of Research on Artificial Intelligence Techniques and Algorithms

Handbook of Research on Artificial Intelligence Techniques and Algorithms
  • Author : Vasant, Pandian
  • Publisher : IGI Global
  • Release : 30 November 2014
GET THIS BOOKHandbook of Research on Artificial Intelligence Techniques and Algorithms

For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO)

Discrete-Time Sliding Mode Control for Networked Control System

Discrete-Time Sliding Mode Control for Networked Control System
  • Author : Dipesh H. Shah,Axaykumar Mehta
  • Publisher : Springer
  • Release : 16 March 2018
GET THIS BOOKDiscrete-Time Sliding Mode Control for Networked Control System

This book presents novel algorithms for designing Discrete-Time Sliding Mode Controllers (DSMCs) for Networked Control Systems (NCSs) with both types of fractional delays namely deterministic delay and random delay along with different packet loss conditions such as single packet loss and multiple packet loss that occur within the sampling period. Firstly, the switching type and non-switching type algorithms developed for the deterministic type fractional delay where the delay is compensated using Thiran’s approximation technique. A modified discrete-time sliding surface

Neural Network Control Of Robot Manipulators And Non-Linear Systems

Neural Network Control Of Robot Manipulators And Non-Linear Systems
  • Author : F W Lewis,S. Jagannathan,A Yesildirak
  • Publisher : CRC Press
  • Release : 14 August 2020
GET THIS BOOKNeural Network Control Of Robot Manipulators And Non-Linear Systems

There has been great interest in "universal controllers" that mimic the functions of human processes to learn about the systems they are controlling on-line so that performance improves automatically. Neural network controllers are derived for robot manipulators in a variety of applications including position control, force control, link flexibility stabilization and the management of high-frequency joint and motor dynamics. The first chapter provides a background on neural networks and the second on dynamical systems and control. Chapter three introduces the

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 : 23 October 2019
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