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Adaptive Control for Robotic Manipulators

Author : Dan Zhang
Publisher : CRC Press
Page : 441 pages
File Size : 24,84 MB
Release : 2017-02-03
Category : Science
ISBN : 1498764886

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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.

Adaptive Control of Robot Manipulators

Author : An-Chyau Huang
Publisher : World Scientific
Page : 274 pages
File Size : 50,38 MB
Release : 2010
Category : Technology & Engineering
ISBN : 9814307416

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This book introduces an unified function approximation approach to the control of uncertain robot manipulators containing general uncertainties. It works for free space tracking control as well as compliant motion control. It is applicable to the rigid robot and the flexible joint robot. Even with actuator dynamics, the unified approach is still feasible. All these features make the book stand out from other existing publications.

Adaptive Control for Robotic Manipulators

Author : Dan Zhang
Publisher : CRC Press
Page : 407 pages
File Size : 24,15 MB
Release : 2017-02-03
Category : 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.

Adaptive Neural Network Control of Robotic Manipulators

Author : Tong Heng Lee
Publisher : World Scientific
Page : 400 pages
File Size : 33,66 MB
Release : 1998
Category :
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.

Control of Robot Manipulators in Joint Space

Author : Rafael Kelly
Publisher : Springer Science & Business Media
Page : 430 pages
File Size : 24,53 MB
Release : 2007-12-14
Category : Technology & Engineering
ISBN : 1852339993

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Tutors can design entry-level courses in robotics with a strong orientation to the fundamental discipline of manipulator control pdf solutions manual Overheads will save a great deal of time with class preparation and will give students a low-effort basis for more detailed class notes Courses for senior undergraduates can be designed around Parts I – III; these can be augmented for masters courses using Part IV

Learning for Adaptive and Reactive Robot Control

Author : Aude Billard
Publisher : MIT Press
Page : 425 pages
File Size : 48,7 MB
Release : 2022-02-08
Category : Technology & Engineering
ISBN : 0262367017

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Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.

Robot Manipulator Control

Author : Frank L. Lewis
Publisher : CRC Press
Page : 646 pages
File Size : 41,52 MB
Release : 2003-12-12
Category : Technology & Engineering
ISBN : 9780203026953

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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.