A dual neural network for kinematic control of redundant robot manipulators

@article{Xia2001ADN,
  title={A dual neural network for kinematic control of redundant robot manipulators},
  author={Youshen Xia and Jun Wang},
  journal={IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society},
  year={2001},
  volume={31 1},
  pages={
          147-54
        }
}
  • Youshen Xia, Jun Wang
  • Published 1 February 2001
  • Computer Science, Mathematics
  • IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
The inverse kinematics problem in robotics can be formulated as a time-varying quadratic optimization problem. A new recurrent neural network, called the dual network, is presented in this paper. The proposed neural network is composed of a single layer of neurons, and the number of neurons is equal to the dimensionality of the workspace. The proposed dual network is proven to be globally exponentially stable. The proposed dual network is also shown to be capable of asymptotic tracking for the… 
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References

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