6 research outputs found

    Adaptive control for the synchronization of multiple robot manipulators with coupling time-delays

    No full text
    Two controllers capable of achieving asymptotic convergence of position and velocity errors, of the ithmanipulator within a multiple robot network, are proposed. The controllers employ adaptive techniques to find an estimate of the physical parameters of the nonlinear dynamics of the robot network. Moreover, the controllers can deal with different connectivity topologies (ring and star) and and can handle timedelays in the communications. Simulations, using a ten robot manipulators network with different connectivity topologies, that confirm the theoretical results are presented

    Adaptive control for the synchronization of multiple robot manipulators with coupling time-delays

    No full text
    Two controllers capable of achieving asymptotic convergence of position and velocity errors, of the ithmanipulator within a multiple robot network, are proposed. The controllers employ adaptive techniques to find an estimate of the physical parameters of the nonlinear dynamics of the robot network. Moreover, the controllers can deal with different connectivity topologies (ring and star) and and can handle timedelays in the communications. Simulations, using a ten robot manipulators network with different connectivity topologies, that confirm the theoretical results are presented.Postprint (published version

    Adaptive control for the synchronization of multiple robot manipulators with coupling time-delays

    No full text
    Two controllers capable of achieving asymptotic convergence of position and velocity errors, of the ithmanipulator within a multiple robot network, are proposed. The controllers employ adaptive techniques to find an estimate of the physical parameters of the nonlinear dynamics of the robot network. Moreover, the controllers can deal with different connectivity topologies (ring and star) and and can handle timedelays in the communications. Simulations, using a ten robot manipulators network with different connectivity topologies, that confirm the theoretical results are presented
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