MANIPULATION
Tracking control design for robot manipulator via fuzzy neural network
Rong‐Jong Wai, Kuan-Yun Hsieh
- Year
- 2003
- Citations
- 12
Abstract
A robust fuzzy-neural-network (RFNN) control system is proposed for the tracking control of an n-link robot manipulator to achieve high-precision position control via the backstepping design procedure. Computer simulations of a three-link SCARA robot manipulator verify the validity of the proposed RFNN control strategy in the possible presence of uncertainties.
Keywords
SCARABacksteppingControl theory (sociology)Computer scienceArtificial neural networkControl engineeringRobotRobot manipulatorTracking (education)Robot control
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