Adaptive Control for Robotic Manipulators - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Adaptive Control for Robotic Manipulators write by Dan Zhang. This book was released on 2017-02-03. Adaptive Control for Robotic Manipulators available 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 Control of Robot Manipulators
Adaptive Control of Robot Manipulators - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Adaptive Control of Robot Manipulators write by An-Chyau Huang. This book was released on 2010. Adaptive Control of Robot Manipulators available 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 of Mechanical Manipulators
Adaptive Control of Mechanical Manipulators - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Adaptive Control of Mechanical Manipulators write by John J. Craig. This book was released on 1988. Adaptive Control of Mechanical Manipulators available in PDF, EPUB and Kindle.
Adaptive Control of Robot Manipulators
Adaptive Control of Robot Manipulators - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Adaptive Control of Robot Manipulators write by An-Chyau Huang. This book was released on 2010. Adaptive Control of Robot Manipulators available 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 Neural Network Control Of Robotic Manipulators
Adaptive Neural Network Control Of Robotic Manipulators - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Adaptive Neural Network Control Of Robotic Manipulators write by Sam Shuzhi Ge. This book was released on 1998-12-04. Adaptive Neural Network Control Of Robotic Manipulators available in PDF, EPUB and Kindle. 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.
