
Adaptive Control for Robotic Manipulators
1st Edition
Published on 10. November 2016
Book
Hardback
440 pages
978-1-4987-6487-2 (ISBN)
Description
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.
More details
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Illustrations
189 s/w Abbildungen
189 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 28 mm
Weight
825 gr
ISBN-13
978-1-4987-6487-2 (9781498764872)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Dan Zhang | Bin Wei
Adaptive Control for Robotic Manipulators
Book
03/2021
1st Edition
CRC Press
€74.80
Shipment within 15-20 days

Dan Zhang | Bin Wei
Adaptive Control for Robotic Manipulators
E-Book
02/2017
CRC Press
€66.99
Available for download

Dan Zhang | Bin Wei
Adaptive Control for Robotic Manipulators
E-Book
02/2017
CRC Press
€67.49
Available for download
Persons
Dan Zhang, Bin Wei
Content
From MRAC to Learning-Based MPC: the emerging importance of machine learning for control of robot manipulators. Discussion on Model Reference Adaptive Control of Robotic Manipulators. Data-Based Learning for Uncertain Robotic Systems. Reinforcement Learning of Robotic Manipulators. Adaptive control for multi-fingered robot hands. Output Feedback Adaptive Control of Uncertain Dynamical Systems with Event-Triggering. Event Sampled Adaptive Control of Robot Manipulators and Mobile Robot Formations. Design, Integration and Analysis of a Hybrid Controller for Multi Degrees of Freedom Serial Mechanisms. Adaptive Control of Modular Ankle Exoskeletons in Neurologically Disabled Populations. Open Architecture High Value Added Robot Manufacturing Cells. The Adaptive Control Algorithm for Manipulators with Joint Flexibility. Unification of Bipedal Robotic Walking using Quadratic Program-based Control Lyapunov Function: Applications to Regulation of ZMP and Angular Momentum. Robust Adaptive Nonlinear Control for Robotic Manipulators with Flexible Joints. Adaptive Switching Iterative Learning Control of Robot Manipulator. Adaptive Robust Control Design for Robot Manipulators Based on Online Estimation of the Lumped Time-Varying Model Uncertainties. Evaluation of microgenetic and microimmune algorithms for solving inverse kinematics of hyper-redundant robotic manipulators on-line.