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Intelligent control of robotic manipulators: a multiple model based approach

M. Kemal Cılız, Kumpati S. Narendra

Year
2002
Citations
11

Abstract

The paper presents a novel methodology for the trajectory tracking control of robotic manipulators. The proposed method utilizes multiple models of the manipulator for the identification of its dynamics in an adaptive control frame work. Simulations and experimental test results are also included to demonstrate the improvement in the tracking performance when the proposed methodology is used for different tracking tasks.

Keywords

Computer scienceTracking (education)TrajectoryRobot manipulatorFrame (networking)Control engineeringIdentification (biology)Control theory (sociology)RobotArtificial intelligence

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