Abstract
The article presents an algorithm for planning the trajectory which goes exactly through two given points: the initial and end points. By complicating the structure of the neural network, we can plan the trajectory that will go through a specified number of points with regard to additional conditions. It is obvious that with the increase of the problem complexity, the accuracy of the solution to the problem decreases. The suggested recommendations reduce the possibility of errors in the neural network solutions.
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Glazkov, V., Daurov, S., L’vov, A., Askarova, A., Kalikhman, D. (2021). Dynamic Error Reduction via Continuous Robot Control Using the Neural Network Technique. In: Dolinina, O., et al. Recent Research in Control Engineering and Decision Making. ICIT 2020. Studies in Systems, Decision and Control, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-030-65283-8_15
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