Adaptive Control for Robotic Manipulators (eBook, PDF)

Redaktion: Zhang, Dan; Wei, Bin

• Format: PDF

Produktbeschreibung

This book focuses on the adaptive control of robotic manipulators to address the changed conditions. It's aim 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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 440
• Erscheinungstermin: 3. Februar 2017
• Englisch
• ISBN-13: 9781498764889
• Artikelnr.: 48008720

Autorenporträt

Dan Zhang, Bin Wei

Inhaltsangabe

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.