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Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems
  • Author : Yang Li
  • Publsiher : Academic Press
  • Release : 16 November 2018
  • ISBN : 0128154322
  • Pages : 186 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKAdaptive Sliding Mode Neural Network Control for Nonlinear Systems

Summary:
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 : 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

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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.

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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 as a joint event in federation 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

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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

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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

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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

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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 : 01 June 2013
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

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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

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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

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Control and Mechatronics

Control and Mechatronics
  • Author : Bodgan Wilamowski,J. David Irwin
  • Publisher : CRC Press
  • Release : 08 October 2018
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

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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

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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,

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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 : 08 October 2019
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

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Automation, Control and Energy Efficiency in Complex Systems

Automation, Control and Energy Efficiency in Complex Systems
  • Author : Hamid Khayyam
  • Publisher : MDPI
  • Release : 22 December 2020
GET THIS BOOKAutomation, Control and Energy Efficiency in Complex Systems

This book is aimed at serving researchers, engineers, scientists, and engineering graduate and PhD students of engineering and physical science together with individuals interested in engineering and science. This book focuses on the application of engineering methods to complex systems including transportation, building, and manufacturing, with approaches representing a wide variety of disciplines of engineering and science. Throughout the book, great emphases are placed on engineering applications of complex systems, as well as the methodologies of automation, including artificial intelligence,

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