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A model algorithmic learning method for continuous-path control of a robot manipulator

Sang–Rok Oh, Zeungnam Bien, Il Hong Suh

Year
1990
Citations
12

Abstract

SUMMARY A new type of an iterative learning control method is proposed for dynamic systems with uncertain parameters. The method, which employs the model algorithmic control concept in the iteration sequence, is shown to be convergent for linear time-varying systems. Then the method is shown to be applicable for continuous-path control of a robot manipulator.

Keywords

Iterative learning controlPath (computing)Computer scienceSequence (biology)Robot manipulatorControl theory (sociology)Manipulator (device)RobotControl (management)Control engineering

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