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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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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

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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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Advances in Neural Networks - ISNN 2007

Advances in Neural Networks - ISNN 2007
  • Author : Derong Liu,Shumin Fei,Zeng-Guang Hou,Huaguang Zhang,Changyin Sun
  • Publisher : Springer
  • Release : 14 July 2007
GET THIS BOOKAdvances in Neural Networks - ISNN 2007

This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. Coverage includes neural networks for control applications, robotics, data mining and feature extraction, chaos and synchronization, support vector machines, fault diagnosis/detection, image/video processing, and applications of neural networks.

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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 : Lipo Wang,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

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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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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

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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 MATLABĀ® 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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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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Advanced Control Engineering Methods in Electrical Engineering Systems

Advanced Control Engineering Methods in Electrical Engineering Systems
  • Author : Mohammed Chadli,Sofiane Bououden,Salim Ziani,Ivan Zelinka
  • Publisher : Springer
  • Release : 10 September 2018
GET THIS BOOKAdvanced Control Engineering Methods in Electrical Engineering Systems

This book presents the proceedings of the Third International Conference on Electrical Engineering and Control (ICEECA2017). It covers new control system models and troubleshooting tips, and also addresses complex system requirements, such as increased speed, precision and remote capabilities, bridging the gap between the complex, math-heavy controls theory taught in formal courses, and the efficient implementation required in real-world industry settings. Further, it considers both the engineering aspects of signal processing and the practical issues in the broad field of

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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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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

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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)

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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.

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