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Force Control Theory and Method of Human Load Carrying Exoskeleton Suit [electronic resource] / by Zhiyong Yang, Wenjin Gu, Jing Zhang, Lihua Gui.

By: Contributor(s): Material type: TextPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2017Description: XV, 218 p. 159 illus., 137 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783662541449
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 629.892 23
Online resources:
Contents:
Introduction -- Model of Exoskeleton Suit -- Sensitivity Amplification Control of Exoskeleton Suit -- Direct Force Control of Exoskeleton Suit -- Force Control of Exoskeleton Suit Based on Inner Position Loop -- Impedance Control of Exoskeleton Suit -- Impedance Control of Exoskeleton Suit with Uncertainties -- Exoskeleton Suit's Reference Trajectory Estimated Method Based on Neural Network -- Conclusions.
In: Springer eBooksSummary: This book reports on the latest advances in concepts and further development of principal component analysis (PCA), discussing in detail a number of open problems related to dimensional reduction techniques and their extensions. It brings together research findings, previously scattered throughout many scientific journal papers worldwide, and presents them in a methodologically unified form. Offering vital insights into the subject matter in self-contained chapters that balance the theory and concrete applications, and focusing on open problems, it is essential reading for all researchers and practitioners with an interest in PCA.
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Introduction -- Model of Exoskeleton Suit -- Sensitivity Amplification Control of Exoskeleton Suit -- Direct Force Control of Exoskeleton Suit -- Force Control of Exoskeleton Suit Based on Inner Position Loop -- Impedance Control of Exoskeleton Suit -- Impedance Control of Exoskeleton Suit with Uncertainties -- Exoskeleton Suit's Reference Trajectory Estimated Method Based on Neural Network -- Conclusions.

This book reports on the latest advances in concepts and further development of principal component analysis (PCA), discussing in detail a number of open problems related to dimensional reduction techniques and their extensions. It brings together research findings, previously scattered throughout many scientific journal papers worldwide, and presents them in a methodologically unified form. Offering vital insights into the subject matter in self-contained chapters that balance the theory and concrete applications, and focusing on open problems, it is essential reading for all researchers and practitioners with an interest in PCA.