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dc.contributor.authorSubudhi, B D-
dc.contributor.authorPradhan, Santanu Kumar-
dc.identifier.citationproceedings of the National System Conference (NSC), 2010, NIT Suratkal, Mangalore, 10-12 Dec. 2010en
dc.descriptionCopyright belongs to proceeding publisheren
dc.description.abstractIn this paper a new nonlinear adaptive controller using actor-critic based Reinforcement Learning (RL) is proposed to adapt the load pick-up and release operation while following a desired trajectory by the end effector for a Two- Link Flexible Manipulator (TLFM). Simulation results show that the proposed RL based adaptive control gives better trajectory tracking performance and suppression of link vibration compared to conventional adaptive controllers with time varying payload.en
dc.format.extent438309 bytes-
dc.subjectFlexible Manipulatoren
dc.subjectReinforcement Learning adaptive controlen
dc.subjectTime varying payloaden
dc.titleReinforcement Learning Based Adaptive Control of a Flexible Manipulatoren
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