Identification of pneumatic cylinder friction parameters using genetic algorithms

@article{Wang2004IdentificationOP,
  title={Identification of pneumatic cylinder friction parameters using genetic algorithms},
  author={Jiabin Wang and J. Wang and Nathaniel D. Daw and Q. H. Wu},
  journal={IEEE/ASME Transactions on Mechatronics},
  year={2004},
  volume={9},
  pages={100-107}
}
A method for identifying friction parameters of pneumatic actuator systems is developed in this paper, based on genetic algorithms (GA). The statistical expectation of mean-squared errors is traditionally used to form evaluation functions in general optimization problems using GA. However, it has been found that, sometimes, this type of evaluation function does not lead the algorithms to have a satisfactory convergence, that is, the algorithm takes a long period of time or fails to reach the… CONTINUE READING
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