| McDonell, B.W., Bobrow, J.E., "Modeling, Identification, and Control of a Pneumatically Actuated Robot", Proceedings of the IEEE Conference on Robotics and Automation, April 1997. |
....Although all the above cited researchers describe how neural networks improved controller performance, they do not describe how well the neural network learned the dynamic model. This is probably because their goal was to improve controller performance and not learn the dynamic model. In [8] McDonell et al. describe the construction of an analytical pneumatic cylinder model, which was used to improve the control by modelling the non linearities inherent in pneumatic actuators. However, their pneumatic robot does not encounter any flow limitations (and hence actuator interactions of ....
McDonell, B.W., et al., "Modeling, Identification, and Control of a Pneumatically Actuated Robot", ICRA, April 1997.
....This is probably because their goal was to improve controller performance and not learn the dynamic model. Page 4 Previous work: Hydraulic and pneumatic system models for control Some researchers have worked on the problem of modeling hydraulic and pneumatic systems for real time control. In [McDonell 97] the authors describe the construction of an analytical pneumatic cylinder model which was used to improve the control. However, due to a large enough reservoir of high pressure air their pneumatic robot does not encounter any flow limitations (and hence no actuator interactions of the type seen ....
McDonell, B.W., Bobrow, J.E., "Modeling, Identification, and Control of a Pneumatically Actuated Robot", Proceedings of the IEEE Conference on Robotics and Automation, pp. 124-9, April 1997.
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McDonell, B.W., Bobrow, J.E., "Modeling, Identification, and Control of a Pneumatically Actuated Robot", Proceedings of the IEEE Conference on Robotics and Automation, April 1997.
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