plonski@primrose.aero.org (Mike Plonski) (09/01/89)
I am enclosing a summary of the responses I received concerning the broom balancing problem, along with those I found on my own. My thanks to those who contributed. ------------------------------------------------------------------------------- . . .__. The opinions expressed herin are soley |\./| !__! Michael Plonski those of the author and do not represent | | | "plonski@aero.org" those of The Aerospace Corporation. _______________________________________________________________________________ %T The original adaptive neural net broom balancer %A Bernard Widrow %J IEEE International Symposium on Circuits and Systems %D |MAY| 1987 %P 351-357 %T A Learning Architecture for Control Based on Back-propogation Neural Networks %A Richard K. Elsley %J |ICNN88| Int. Conference on Neural Networks 1988 %V II %P 587-594 %K robotics %T A Neuromorphic Controller with a Human Teacher %A Allon Guez %A John Selinsky %J |ICNN88| Int. Conference on Neural Networks 1988 %V II %P 595-602 %K broom balance, trainable adaptive controllers %T Control System Design %o An Introduction to State Space Methods %A Bernard Friedland %I |MGHill| %D 1986 %K Dynamics, mechanics, inverted pendulum, broom balance %X Develops the equations for aerodynamic models for a missle in flight and the inverted pendulum problem %T A Learning Architecture for Control Based on Back-propogation Neural Networks %A Richard K. Elsley %J |ICNN88| Int. Conference on Neural Networks 1988 %V II %P 587-594 %K robotics %T A Neuromorphic Controller with a Human Teacher %A Allon Guez %A John Selinsky %J |ICNN88| Int. Conference on Neural Networks 1988 %V II %P 595-602 %K broom balance, trainable adaptive controllers %T Control System Design %o An Introduction to State Space Methods %A Bernard Friedland %I |MGHill| %D 1986 %K Dynamics, mechanics, inverted pendulum, broom balance %X Develops the equations for aerodynamic models for a missle in flight and the inverted pendulum problem
plonski@primrose.aero.org (Mike Plonski) (09/01/89)
THE PREVIOUS MESSAGE INADVERTENTLY DUPLICATED SOME REFERENCES AND LEFT OTHERS OUT. THIS MESSAGE CONTAINS THE CORRECT LIST. I am enclosing a summary of the responses I received concerning the broom balancing problem, along with those I found on my own. My thanks to those who contributed. ------------------------------------------------------------------------------- . . .__. The opinions expressed herin are soley |\./| !__! Michael Plonski those of the author and do not represent | | | "plonski@aero.org" those of The Aerospace Corporation. _______________________________________________________________________________ %T The original adaptive neural net broom balancer %A Bernard Widrow %J IEEE International Symposium on Circuits and Systems %D |MAY| 1987 %P 351-357 %T Neuronlike adaptive elements that can solve difficult learning control problems %A Andrew G. Barto %A Richard S. Sutton %A Charles Anderson %J |IEETS2| IEEE Systems Man & Cybernetics %N 13 %P 834-846 %O (reprinted in {\em Neurocomputing}, MIT Press 1988) %K broom balancer %X Classic paper on neural networks for control %T An Adaptive ``Broom Balancer'' with visual inputs %A Viral V. Tolat %A Bernard Widrow %J |ICNN88| Int. Conference on Neural Networks 1988 %V II %P 641-647 %T An Intelligent Controller based on Approximate Reasoning and Reinforcement Learning %A Chuen-Chien Lee %A Hamid R. Berenji %J Proceedings of the fourth IEEE International Symposium on Intelligent Control %C Albany, NY %D |SEP| 24-26, 1989 %K broom balancer, fuzzy control, rule based %T An Experiment-based Comparative Study of Fuzzy Logic Control %A Hamid R. Berenj %A Yung-Yaw Chen %A Chuen-Chien Lee %J Proceedings of the 1989 American Control Conference %C Pittsburgh, PA %O Sponsored by American Automatic Control Council %D |JUN| 21-23, 1989 %K broom balancer, fuzzy control, rule based %X {\em An Intelligent Controller based on Approximate Reasoning and Reinforcement Learning} by Berenj is a more detailed version of this paper. %T A Learning Architecture for Control Based on Back-propogation Neural Networks %A Richard K. Elsley %J |ICNN88| Int. Conference on Neural Networks 1988 %V II %P 587-594 %K robotics %T A Neuromorphic Controller with a Human Teacher %A Allon Guez %A John Selinsky %J |ICNN88| Int. Conference on Neural Networks 1988 %V II %P 595-602 %K broom balance, trainable adaptive controllers %T Control System Design %o An Introduction to State Space Methods %A Bernard Friedland %I |MGHill| %D 1986 %K Dynamics, mechanics, inverted pendulum, broom balance %X Develops the equations for aerodynamic models for a missle in flight and the inverted pendulum problem