A Query Based Learning Algorithm for Modelling Robot Manipulator Dynamics using Network Inversion
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[1] Jenq-Neng Hwang,et al. Query-based learning applied to partially trained multilayer perceptrons , 1991, IEEE Trans. Neural Networks.
[2] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[3] Mitsuo Kawato,et al. Feedback-error-learning neural network for trajectory control of a robotic manipulator , 1988, Neural Networks.
[4] Weiping Li,et al. Composite adaptive control of robot manipulators , 1989, Autom..
[5] F. Girosi,et al. Networks for approximation and learning , 1990, Proc. IEEE.
[6] Jenq-Neng Hwang,et al. Iterative inversion of neural networks and its application to adaptive control , 1992, IEEE Trans. Neural Networks.
[7] Kumpati S. Narendra,et al. Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.
[8] Yung C. Shin,et al. Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems , 1994, IEEE Trans. Neural Networks.
[9] Sukhan Lee,et al. Inverse mapping of continuous functions using local and global information , 1994, IEEE Trans. Neural Networks.
[10] Graham C. Goodwin,et al. Adaptive filtering prediction and control , 1984 .
[11] Filson H. Glanz,et al. Application of a General Learning Algorithm to the Control of Robotic Manipulators , 1987 .
[12] B. Widrow,et al. Neural networks for self-learning control systems , 1990, IEEE Control Systems Magazine.