Adaptive NeuroControl: How Black Box and Simple can it be

[1]  F. Girosi,et al.  Networks for approximation and learning , 1990, Proc. IEEE.

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

[3]  Peter J. Gawthrop,et al.  Neural networks for control systems - A survey , 1992, Autom..

[4]  Marco Saerens,et al.  Acoustic-articulatory inversion based on a neural controller of a vocal tract model , 1990, SSW.

[5]  Jing Peng,et al.  An Efficient Gradient-Based Algorithm for On-Line Training of Recurrent Network Trajectories , 1990, Neural Computation.

[6]  Marco Saerens,et al.  Neural controller based on back-propagation algorithm , 1991 .

[7]  Barak A. Pearlmutter.  Learning State Space Trajectories in Recurrent Neural Networks , 1989, Neural Computation.

[8]  Michael I. Jordan,et al.  Internal World Models and Supervised Learning , 1991, ML.

[9]  Richard S. Sutton,et al.  Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[10]  Michael I. Jordan,et al.  Generic constraints on underspecified target trajectories , 1989, International 1989 Joint Conference on Neural Networks.

[11]  Kumpati S. Narendra,et al.  Neural networks and dynamical systems , 1992, Int. J. Approx. Reason..

[12]  Michael I. Jordan,et al.  Learning to Control an Unstable System with Forward Modeling , 1989, NIPS.

[13]  Michael I. Jordan.  Supervised learning and systems with excess degrees of freedom , 1988 .

[14]  Ronald J. Williams,et al.  A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.

[15]  A. Sideris,et al.  A multilayered neural network controller , 1988, IEEE Control Systems Magazine.

[16]  Marco Saerens,et al.  Some Preliminary Comparisons Between a Neural Adaptive Controller and a Model Reference Adaptive Controller , 1993 .