Learning and approximation in database for feedforward control of flexible manipulator

The author considers a new method for feedforward programmed control of a robotic system with complex dynamics. The method uses a learning procedure and a database for previously learned controls rather than a mathematical model of the system. For point-to-point control of a two-link flexible-joint manipulator, the method results in a fairly little amount of learning and database storage memory.<
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