English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The major problems of hybrid force/position control arise from uncertainty of the robot manipulator and unknown parameters of the task environment. This paper proposes a self tuning fuzzy hybrid forced position control scheme, which can force the end-effector lo tracking a desired force and position trajectories in the Cartesian space. The output of the self tuning algorithm adjusted on-line by the Scaling Factor (SF). The selection of SF value depends on the values of error (e) and change of error (e). The present work is applied to the control of a two degrees-of-freedom (DOF) planar robot manipulator. The simulation results were carried out by using mailab5.3 program.

A Fuzzy Self-Tuning Hybrid Force/Position Controller for Robotic Manipulator.(Dept.E)