Model Reference Adaptive Control Of Manipulators
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Model Reference Adaptive Control of Manipulators
Author | : D. P. Stoten |
Publsiher | : Unknown |
Total Pages | : 238 |
Release | : 1990 |
Genre | : Adaptive control systems |
ISBN | : 0863800971 |
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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 |
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Adaptive Control for Robotic Manipulators
Author | : Dan Zhang,Bin Wei |
Publsiher | : CRC Press |
Total Pages | : 441 |
Release | : 2017-02-03 |
Genre | : Science |
ISBN | : 9781498764889 |
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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,Christopher John Harris |
Publsiher | : World Scientific |
Total Pages | : 400 |
Release | : 1998 |
Genre | : Electronic Book |
ISBN | : 981023452X |
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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.
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 Control of Robot Manipulators
Author | : Anonim |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 2024 |
Genre | : Electronic Book |
ISBN | : 9789814464871 |
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AETA 2018 Recent Advances in Electrical Engineering and Related Sciences
Author | : Ivan Zelinka,Pavel Brandstetter,Tran Trong Dao |
Publsiher | : Springer |
Total Pages | : 1014 |
Release | : 2019-06-04 |
Genre | : Electronic Book |
ISBN | : 3030149099 |
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Direct Adaptive Control Algorithms
Author | : Howard Kaufman,Itzhak Barkana,Kenneth Sobel |
Publsiher | : Springer Science & Business Media |
Total Pages | : 380 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 9781468402179 |
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Suitable either as a reference or as a text for a graduate course in adaptive control systems, this book is a self-contained compendium of easily implementable adaptive control algorithms that have been developed and applied by the authors for over 10 years. These algorithms do not require explicit process parameter identification and have been successfully applied to a wide variety of engineering problems including flexible structure control, blood pressure control and robotics. In general, these algorithms are suitable for a wide class of multiple input-output control systems containing significant uncertainty as well as disturbances.