Abstract: In this brief, we propose a new data-driven model-free adaptive control (MFAC) method with dual radial basis function neural networks (RBFNNs) for a class of discrete-time nonlinear systems.
Abstract: Among the various existing digital-to-analog converter (DAC) architectures, the current-steering DAC architecture prevails at high sampling rates. Its simple underlying topology makes these ...
Materials science is an interdisciplinary field concerned with the understanding and application of the properties of matter. Materials scientists study the connections between the underlying ...
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