Model Reference Adaptive Control of Mechanical Manipulators

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Author :
Release : 1983
Genre : Adaptive control systems
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Model Reference 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 Model Reference Adaptive Control of Mechanical Manipulators write by Roberto Horowitz. This book was released on 1983. Model Reference Adaptive Control of Mechanical Manipulators available in PDF, EPUB and Kindle.

Adaptive Control of Mechanical Manipulators

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Release : 1988
Genre : Adaptive control systems
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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.

Model Reference Adaptive Control of Manipulators

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Release : 1990-05-14
Genre : Technology & Engineering
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Book Rating : 238/5 ( reviews)

Model Reference Adaptive Control of 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 Model Reference Adaptive Control of Manipulators write by D. P. Stoten. This book was released on 1990-05-14. Model Reference Adaptive Control of Manipulators available in PDF, EPUB and Kindle. This research study presents the author's recent research on the control of mechanical manipulators, offering an account of the latest advances in this area of the robotics field. Confirms the robustness of the Model Reference Adaptive Control (MRAC) and Minimal Controller Synthesis (MCS) algorithms applied to manipulators, using analytical as well as realistic nonlinear simulation techniques. Special attention is paid to the robustness proofs of MRAC and MCS and to the excellent results obtained from closed-loop simulation studies. The concepts of adaptive control are emphasized rather than the dynamic modeling of manipulators.

Adaptive Control for Robotic Manipulators

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Release : 2017-02-03
Genre : Science
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Book Rating : 886/5 ( reviews)

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 Methods for Mechanical Manipulators

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Release : 1989
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Adaptive Control Methods for 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 Methods for Mechanical Manipulators write by Hamadi Jamali. This book was released on 1989. Adaptive Control Methods for Mechanical Manipulators available in PDF, EPUB and Kindle. A new adaptive control law for mechanical manipulators that maintains uniformly good performance over a wide range of motions and payloads is developed. This control strategy combines properties from both the Model Reference Adaptive Control and the Self Tuning Regulator Theory and serves to extend the Adaptive Model Following Control approach into using a nonlinear reference model. The design procedure is simple resulting in an overall system which is globally stable and offers itself to microcomputer implementation. The effectiveness of the approach is demonstrated on several computer simulations which compares its performances against some of the commonly known adaptive control techniques. Also presented is a comparison of the computation complexity of different methods used in deriving the dynamic equations of motion of a mechanical manipulator as well as a survey of various robot control methodologies available in the literature today. Automatic control systems, Identification, Adaptive control and robotics. (EG).