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Evolutionary Design of Inverse Dynamics Controllers for Multiple Arm Co-operating Manipulator Systems

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dc.contributor.author Swain, Anjan Kumar
dc.contributor.author Bjanta, Urmila*
dc.contributor.author Morris, Alan S.*
dc.date.accessioned 2015-03-19T09:14:37Z
dc.date.available 2015-03-19T09:14:37Z
dc.date.issued 2005
dc.identifier.uri http://hdl.handle.net/2259/248
dc.description 2nd Indian International Conference on Artificial Intelligence. Bhanu Prasad (Editor): IICAI-05, pp. 54-71, 2005., * External Authors en_US
dc.description.abstract In this paper a novel hybrid evolutionary algorithm (HEA) method is used to find optimal feedback gains for inverse dynamics controllers. It is shown that HEA efficiently finds the optimal feedback gains to improve the performances of inverse dynamics controllers for end-effector tracking control in highly complex, nonlinear, co-operating manipulator systems for both fixed-base and free-floating, multi-arm, space manipulator systems under zero gravity. en_US
dc.language.iso en en_US
dc.publisher IICAI en_US
dc.subject Hybrid Evolutionary algorithm en_US
dc.subject HEA en_US
dc.subject Inverse dynamic controllers en_US
dc.title Evolutionary Design of Inverse Dynamics Controllers for Multiple Arm Co-operating Manipulator Systems en_US
dc.type Other en_US


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