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

Sliding Mode Control Using MATLAB

Sliding Mode Control Using MATLAB
  • Author : Jinkun Liu
  • Publisher : Academic Press
  • Release : 25 May 2017
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

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,

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

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

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 : 26 December 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

Stable Adaptive Neural Network Control

Stable Adaptive Neural Network Control
  • Author : S.S. Ge,C.C. Hang,T.H. Lee,Tao Zhang
  • Publisher : Springer Science & Business Media
  • Release : 09 March 2013
GET THIS BOOKStable Adaptive Neural Network Control

Recent years have seen a rapid development of neural network control tech niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems
  • Author : Jinkun Liu
  • Publisher : Springer Science & Business Media
  • Release : 26 January 2013
GET THIS BOOKRadial Basis Function (RBF) Neural Network Control for Mechanical Systems

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design methods and MATLAB simulation of stable adaptive RBF neural control strategies. In this book, a broad range of implementable neural network control design methods for mechanical systems are presented, such as robot manipulators, inverted pendulums, single link flexible

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

Disturbance Observer-Based Control

Disturbance Observer-Based Control
  • Author : Shihua Li,Jun Yang,Wen-Hua Chen,Xisong Chen
  • Publisher : CRC Press
  • Release : 19 April 2016
GET THIS BOOKDisturbance Observer-Based Control

Due to its abilities to compensate disturbances and uncertainties, disturbance observer based control (DOBC) is regarded as one of the most promising approaches for disturbance-attenuation. One of the first books on DOBC, Disturbance Observer Based Control: Methods and Applications presents novel theory results as well as best practices for applica

Fractional-Order Nonlinear Systems

Fractional-Order Nonlinear Systems
  • Author : Ivo Petráš
  • Publisher : Springer Science & Business Media
  • Release : 30 May 2011
GET THIS BOOKFractional-Order Nonlinear Systems

"Fractional-Order Nonlinear Systems: Modeling, Analysis and Simulation" presents a study of fractional-order chaotic systems accompanied by Matlab programs for simulating their state space trajectories, which are shown in the illustrations in the book. Description of the chaotic systems is clearly presented and their analysis and numerical solution are done in an easy-to-follow manner. Simulink models for the selected fractional-order systems are also presented. The readers will understand the fundamentals of the fractional calculus, how real dynamical systems can be described

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

Systems with Hysteresis

Systems with Hysteresis
  • Author : Mark A. Krasnosel'skii,Aleksei V. Pokrovskii
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKSystems with Hysteresis

Hysteresis phenomena are common in numerous physical, mechanical, ecological and biological systems. They reflect memory effects and process irreversibility. The use of hysteresis operators (hysterons) offers an approach to macroscopic modelling of the dynamics of phase transitions and rheological systems. The applications cover processes in electromagnetism, elastoplasticity and population dynamics in particular. Hysterons are also typical elements of control systems where they represent thermostats and other discontinuous controllers with memory. The book offers the first systematic mathematical treatment of hysteresis