A mathematical model of the adaptive control of human arm motions
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[1] F A Mussa-Ivaldi,et al. Computations underlying the execution of movement: a biological perspective. , 1991, Science.
[2] F. Girosi,et al. Networks for approximation and learning , 1990, Proc. IEEE.
[3] H. Seraji. Adaptive control of robotic manipulators , 1987, 26th IEEE Conference on Decision and Control.
[4] Norbert Wiener,et al. Cybernetics: Control and Communication in the Animal and the Machine. , 1949 .
[5] Mitsuo Kawato,et al. Neural network control for a closed-loop System using Feedback-error-learning , 1993, Neural Networks.
[6] E. Bizzi,et al. Postural force fields of the human arm and their role in generating multijoint movements , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[7] Terence D. Sanger,et al. Neural network learning control of robot manipulators using gradually increasing task difficulty , 1994, IEEE Trans. Robotics Autom..
[8] F. H. Adler. Cybernetics, or Control and Communication in the Animal and the Machine. , 1949 .
[9] Suguru Arimoto,et al. Bettering operation of Robots by learning , 1984, J. Field Robotics.
[10] T. Flash,et al. The coordination of arm movements: an experimentally confirmed mathematical model , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[11] Filson H. Glanz,et al. Application of a General Learning Algorithm to the Control of Robotic Manipulators , 1987 .
[12] N. Hogan. An organizing principle for a class of voluntary movements , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[13] Mitsuo Kawato,et al. Adaptation and learning in control of voluntary movement by the central nervous system , 1988, Adv. Robotics.
[14] E. Bizzi,et al. Neural, mechanical, and geometric factors subserving arm posture in humans , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[15] Roberto Horowitz,et al. Stability and Robustness Analysis of a Class of Adaptive Controllers for Robotic Manipulators , 1990, Int. J. Robotics Res..
[16] F A Mussa-Ivaldi,et al. Adaptive representation of dynamics during learning of a motor task , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[17] D. O. Hebb,et al. The organization of behavior , 1988 .
[18] Robert M. Sanner,et al. Gaussian Networks for Direct Adaptive Control , 1991, 1991 American Control Conference.
[19] Weiping Li,et al. Applied Nonlinear Control , 1991 .
[20] David J. Reinkensmeyer,et al. Using associative content-addressable memories to control robots , 1988, Proceedings of the 27th IEEE Conference on Decision and Control.
[21] Michael I. Jordan,et al. Forward Models: Supervised Learning with a Distal Teacher , 1992, Cogn. Sci..
[22] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[23] F. A. Mussa-lvaldi,et al. Convergent force fields organized in the frog's spinal cord , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[24] E. Bizzi,et al. Linear combinations of primitives in vertebrate motor control. , 1994, Proceedings of the National Academy of Sciences of the United States of America.
[25] David J. Reinkensmeyer,et al. Using associative content-addressable memories to control robots , 1989, Proceedings, 1989 International Conference on Robotics and Automation.
[26] Robert M. Sanner,et al. Stable adaptive control and recursive identification of nonlinear systems using radial Gaussian networks , 1993 .
[27] John J. Craig,et al. Introduction to Robotics Mechanics and Control , 1986 .
[28] R. M. Sanner,et al. Neural Networks for Adaptive Control and Recursive Identification: A Theoretical Framework , 1993 .
[29] Robert M. Sanner,et al. Stable Adaptive Control of Robot Manipulators Using Neural Networks , 1995, Neural Computation.