Neural Network Control of Robot Arms and Nonlinear Systems

[1]  Jooyoung Park,et al.  Universal Approximation Using Radial-Basis-Function Networks , 1991, Neural Computation.

[2]  Frank L. Lewis,et al.  Robust control for the tracking of robot motion , 1990 .

[3]  Frank L. Lewis,et al.  Feedback linearization using neural networks , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[4]  Petros A. Ioannou,et al.  Neural networks as on-line approximators of nonlinear systems , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

[5]  Kumpati S. Narendra,et al.  Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.

[6]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[7]  Frank L. Lewis,et al.  Multilayer discrete-time neural-net controller with guaranteed performance , 1996, IEEE Trans. Neural Networks.

[8]  George Cybenko,et al.  Approximation by superpositions of a sigmoidal function , 1992, Math. Control. Signals Syst..

[9]  Frank L. Lewis,et al.  Neural net robot controller with guaranteed tracking performance , 1995, IEEE Trans. Neural Networks.

[10]  Manolis A. Christodoulou,et al.  Adaptive control of unknown plants using dynamical neural networks , 1994, IEEE Trans. Syst. Man Cybern..

[11]  Frank L. Lewis,et al.  Robust control techniques for general dynamic systems , 1992, J. Intell. Robotic Syst..

[12]  Takayuki Yamada,et al.  Neural network controller characteristics with regard to adaptive control , 1992, IEEE Trans. Syst. Man Cybern..

[13]  Mohamad H. Hassoun.  Guest Editorial Neural Networks Council Awards , 1996, IEEE Trans. Neural Networks.

[14]  P. Werbos,et al.  Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .

[15]  L. Gordon Kraft,et al.  A summary comparison of CMAC neural network and traditional adaptive control systems , 1990 .

[16]  K. Narendra,et al.  A new adaptive law for robust adaptation without persistent excitation , 1987 .

[17]  Hideaki Sakai,et al.  A nonlinear regulator design in the presence of system uncertainties using multilayered neural network , 1991, IEEE Trans. Neural Networks.

[18]  Kumpati S. Narendra,et al.  Adaptive control using neural networks , 1990 .

[19]  Tomaso A. Poggio,et al.  Extensions of a Theory of Networks for Approximation and Learning , 1990, NIPS.

[20]  Jean-Jacques E. Slotine,et al.  Stable adaptive control and recursive identification using radial Gaussian networks , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[21]  Fu-Chuang Chen,et al.  Adaptive control of nonlinear systems using neural networks , 1992 .

[22]  Yoshiki Uchikawa,et al.  Trajectory control of robotic manipulators using neural networks , 1991 .

[23]  Kang G. Shin,et al.  Direct control and coordination using neural networks , 1993, IEEE Trans. Syst. Man Cybern..

[24]  Héctor J. Sussmann,et al.  Uniqueness of the weights for minimal feedforward nets with a given input-output map , 1992, Neural Networks.

[25]  Robert M. Burton,et al.  Convergence and divergence in neural networks: Processing of chaos and biological analogy , 1992, Neural Networks.

[26]  Kurt Hornik,et al.  Multilayer feedforward networks are universal approximators , 1989, Neural Networks.

[27]  Jean-Jacques E. Slotine,et al.  Adaptive manipulator control: A case study , 1988 .

[28]  Fu-Chuang Chen,et al.  Adaptive control of non-linear continuous-time systems using neural networks—general relative degree and MIMO cases , 1993 .