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Neural components of dynamic objetcs control system with their hardware program implementation on FPGA

Kravets P.I., Shymkovych V.M., Omelchenko P.

In this paper neural networks are designed and research components of control systems dynamic objects with their hardware program implementation on FPGA, namely those developed typical model as direct and inverse model of the object management and algorithm for hardware-software implementation of Kalman filter.


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