Adaptive Neural Network Control of Robotic Manipulators
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : |
| Genre | : |
| ISBN | : 9814496227 |
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Adaptive Neural Network Control of Robotic Manipulators
| Author | : Tong Heng Lee |
| Publisher | : World Scientific |
| Total Pages | : 400 |
| Release | : 1998 |
| Genre | : |
| ISBN | : 9789810234522 |
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Introduction; Mathematical background; Dynamic modelling of robots; Structured network modelling of robots; Adaptive neural network control of robots; Neural network model reference adaptive control; Flexible joint robots; task space and force control; Bibliography; Computer simulation; Simulation software in C.
Neural Network Control Of Robot Manipulators And Non-Linear Systems
| Author | : F W Lewis |
| Publisher | : CRC Press |
| Total Pages | : 468 |
| Release | : 2020-08-14 |
| Genre | : Technology & Engineering |
| ISBN | : 100016277X |
Download Neural Network Control Of Robot Manipulators And Non-Linear Systems Book in PDF, ePub and Kindle
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 robot control problem and standard techniques such as torque, adaptive and robust control. Subsequent chapters give design techniques and Stability Proofs For NN Controllers For Robot Arms, Practical Robotic systems with high frequency vibratory modes, force control and a general class of non-linear systems. The last chapters are devoted to discrete- time NN controllers. Throughout the text, worked examples are provided.
Adaptive Neural Network Control of Robotic Manipulators
| Author | : Shuzhi S. Ge |
| Publisher | : World Scientific Series In Robotics And Intelligent Systems |
| Total Pages | : 381 |
| Release | : 1998 |
| Genre | : Technology & Engineering |
| ISBN | : 9789810234522 |
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Recently, there has been considerable research interest in neural network control of robots, and satisfactory results have been obtained in solving some of the special issues associated with the problems of robot control in an "on-and-off" fashion. This book is dedicated to issues on adaptive control of robots based on neural networks. The text has been carefully tailored to (i) give a comprehensive study of robot dynamics, (ii) present structured network models for robots, and (iii) provide systematic approaches for neural network based adaptive controller design for rigid robots, flexible joint robots, and robots in constraint motion. Rigorous proof of the stability properties of adaptive neural network controllers is provided. Simulation examples are also presented to verify the effectiveness of the controllers, and practical implementation issues associated with the controllers are also discussed.
Control of Robot Manipulators
| Author | : Frank L. Lewis |
| Publisher | : MacMillan Publishing Company |
| Total Pages | : 450 |
| Release | : 1993 |
| Genre | : Technology & Engineering |
| ISBN | : |
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Robot Manipulator Control
| Author | : Frank L. Lewis |
| Publisher | : CRC Press |
| Total Pages | : 646 |
| Release | : 2003-12-12 |
| Genre | : Technology & Engineering |
| ISBN | : 9780203026953 |
Download Robot Manipulator Control Book in PDF, ePub and Kindle
Robot Manipulator Control offers a complete survey of control systems for serial-link robot arms and acknowledges how robotic device performance hinges upon a well-developed control system. Containing over 750 essential equations, this thoroughly up-to-date Second Edition, the book explicates theoretical and mathematical requisites for controls design and summarizes current techniques in computer simulation and implementation of controllers. It also addresses procedures and issues in computed-torque, robust, adaptive, neural network, and force control. New chapters relay practical information on commercial robot manipulators and devices and cutting-edge methods in neural network control.
Neural Networks for Robotic Control
| Author | : Ali M. S. Zalzala |
| Publisher | : Prentice Hall |
| Total Pages | : 296 |
| Release | : 1996 |
| Genre | : Computers |
| ISBN | : |
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1. An overview of neural networks in control applications; 2. Artificial neural network based intelligent robot dynamic control; 3. Neural servo controller for position, force stabbing control of robotic manipulators; 4. Model-based adaptive neural structures for robotic control; 5. Intelligent co-ordination of multiple systems with neural networks; 6. Neural networks for mobile robot piloting control; 7. A neural network controller for the navigation and obstacle avoidance of a mobile robot; An ultrasonic 3-D robot vision system based on the statistical properties of artificial neural networks; Visual control of robotic manipulator based on neural networks; 10. Brain building for a biological robot; 11. Robustness of a distributed neural network controller for locomotion in a hexapod robot.
Adaptive Control for Robotic Manipulators
| Author | : Dan Zhang |
| Publisher | : CRC Press |
| Total Pages | : 407 |
| Release | : 2017-02-03 |
| Genre | : Science |
| ISBN | : 1351678922 |
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The robotic mechanism and its controller make a complete system. As the robotic mechanism is reconfigured, the control system has to be adapted accordingly. The need for the reconfiguration usually arises from the changing functional requirements. This book will focus on the adaptive control of robotic manipulators to address the changed conditions. The aim of the book is to summarise and introduce the state-of-the-art technologies in the field of adaptive control of robotic manipulators in order to improve the methodologies on the adaptive control of robotic manipulators. Advances made in the past decades are described in the book, including adaptive control theories and design, and application of adaptive control to robotic manipulators.
Advanced Sliding Mode Control for Mechanical Systems
| Author | : Jinkun Liu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 367 |
| Release | : 2012-09-07 |
| Genre | : Technology & Engineering |
| ISBN | : 3642209076 |
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"Advanced Sliding Mode Control for Mechanical Systems: Design, Analysis and MATLAB Simulation" takes readers through the basic concepts, covering the most recent research in sliding mode control. The book is written from the perspective of practical engineering and examines numerous classical sliding mode controllers, including continuous time sliding mode control, discrete time sliding mode control, fuzzy sliding mode control, neural sliding mode control, backstepping sliding mode control, dynamic sliding mode control, sliding mode control based on observer, terminal sliding mode control, sliding mode control for robot manipulators, and sliding mode control for aircraft. This book is intended for engineers and researchers working in the field of control. Dr. Jinkun Liu works at Beijing University of Aeronautics and Astronautics and Dr. Xinhua Wang works at the National University of Singapore.
Robot Manipulator Control
| Author | : Frank L. Lewis |
| Publisher | : CRC Press |
| Total Pages | : 430 |
| Release | : 2003-12-12 |
| Genre | : Technology & Engineering |
| ISBN | : 9780824740726 |
Download Robot Manipulator Control Book in PDF, ePub and Kindle
Robot Manipulator Control offers a complete survey of control systems for serial-link robot arms and acknowledges how robotic device performance hinges upon a well-developed control system. Containing over 750 essential equations, this thoroughly up-to-date Second Edition, the book explicates theoretical and mathematical requisites for controls design and summarizes current techniques in computer simulation and implementation of controllers. It also addresses procedures and issues in computed-torque, robust, adaptive, neural network, and force control. New chapters relay practical information on commercial robot manipulators and devices and cutting-edge methods in neural network control.
