Adaptive Control For Robotic Manipulators
Download Adaptive Control For Robotic Manipulators full books in PDF, epub, and Kindle. Read online free Adaptive Control For Robotic Manipulators ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Adaptive Control for Robotic Manipulators
Author | : Dan Zhang,Bin Wei |
Publsiher | : CRC Press |
Total Pages | : 407 |
Release | : 2017-02-03 |
Genre | : Science |
ISBN | : 9781351678926 |
Download Adaptive Control for Robotic Manipulators Book in PDF, Epub and Kindle
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 | : Anonim |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 2024 |
Genre | : Electronic Book |
ISBN | : 9789814496223 |
Download Adaptive Neural Network Control of Robotic Manipulators Book in PDF, Epub and Kindle
Adaptive Control of Robot Manipulators
Author | : An-Chyau Huang,Ming-Chih Chien |
Publsiher | : World Scientific |
Total Pages | : 274 |
Release | : 2010 |
Genre | : Technology & Engineering |
ISBN | : 9789814307420 |
Download Adaptive Control of Robot Manipulators Book in PDF, Epub and Kindle
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
![Adaptive Control for Robotic Manipulators](https://youbookinc.com/wp-content/uploads/2024/06/cover.jpg)
Author | : Ramesh Srinivasan,Carleton University. Dissertation. Engineering, Mechanical,ProQuest Co |
Publsiher | : Unknown |
Total Pages | : 374 |
Release | : 1988 |
Genre | : Robots |
ISBN | : OCLC:290240218 |
Download Adaptive Control for Robotic Manipulators Book in PDF, Epub and Kindle
Adaptive Control of Mechanical Manipulators
Author | : John J. Craig |
Publsiher | : Addison Wesley Publishing Company |
Total Pages | : 152 |
Release | : 1988 |
Genre | : Adaptive control systems |
ISBN | : UCAL:B5116177 |
Download Adaptive Control of Mechanical Manipulators Book in PDF, Epub and Kindle
Adaptive Neural Network Control of Robotic Manipulators
Author | : Tong Heng Lee,Christopher John Harris |
Publsiher | : World Scientific |
Total Pages | : 400 |
Release | : 1998 |
Genre | : Electronic Book |
ISBN | : 981023452X |
Download Adaptive Neural Network Control of Robotic Manipulators Book in PDF, Epub and Kindle
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.
Adaptive Control of Robot Manipulators
Author | : An-Chyau Huang,Ming-Chih Chien |
Publsiher | : World Scientific |
Total Pages | : 274 |
Release | : 2010 |
Genre | : Technology & Engineering |
ISBN | : 9789814307413 |
Download Adaptive Control of Robot Manipulators Book in PDF, Epub and Kindle
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.
Non Adaptive and Adaptive Control of Manipulation Robots
Author | : M. Vukobratovic,D. Stokic,N. Kircanski |
Publsiher | : Springer Science & Business Media |
Total Pages | : 394 |
Release | : 2013-12-11 |
Genre | : Computers |
ISBN | : 9783642822018 |
Download Non Adaptive and Adaptive Control of Manipulation Robots Book in PDF, Epub and Kindle
The material presented in this monograph is a logical continuation of research results achieved in the control of manipulation robots. This is in a way, a synthesis of many-year research efforts of the associates of Robotics Department, Mihailo Pupin Institute, in the field of dynamic control.of robotic systems. As in Vol. 2 of this Series, all results rely on the mathematical models of dynamics of active spatial mechanisms which offer the possibility for adequate dynamic control of manipula tion robots. Compared with Vol. 2, this monograph has three essential new character istics, and a variety of new tasks arising in the control of robots which have been formulated and solved for the first time. One of these novelties is nonadaptive control synthesized for the case of large variations in payload parameters, under the condition that the practical stability of the overall system is satisfied. Such a case of control synthesis meets the actual today's needs in industrial robot applications. The second characteristic of the monograph is the efficient adaptive control algorithm based on decentralized control structure intended for tasks in which parameter variations cannot be specified in advance. To be objective, this is not the case in industrial robotics today. Thus, nonadaptive control with and without a particular parameter variation is supplemented by adaptive dynamic control algorithms which will cer tainly be applicable in the future industrial practice when parametric identification of workpieces will be required.