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Combining processors with hardware accelerators has become a norm with systems-on-chip (SoCs) ever present in modern compute devices. Heterogeneous programmable system on chip platforms sometimes referred to as hybrid FPGAs, tightly couple general purpose processors with high performance reconfigurable fabrics, providing a more flexible alternative. We can now think of a software application with...
The paper investigates nonlinear system identification using system output data at various linearized operating points. A feed-forward multi-layer Artificial Neural Network (ANN) based approach is used for this purpose and tested for two target applications i.e. nuclear reactor power level monitoring and an AC servo position control system. Various configurations of ANN using different activation...
In this paper, the classical Least Square Estimator (LSE) and its improved version the Instrumental Variable (IV) estimator have been used for the identification of an ac servo motor position control system. The data for system identification has been collected from a practical test set-up for fixed command on the final angular position of the servo motor with varying level of velocity and acceleration...
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