NG-RC based nonlinear controller realized on edge computing hardware. (top) Learning phase. (top) Learning phase. A field programmable gate array (FPGA) applies perturbations (red) to a chaotic circuit and the perturbed dynamics of the circuit (blue) are measured by a sensor (analog-to-digital converters). The temporal evolution of the perturbations and responses are transferred to a personal computer (left, purple) to learn the parameters of the NG-RC controller W. These parameters are programmed onto the FPGA as well as the firmware for the controller. (bottom) Control phase. The NG-RC controller implemented on the FPGA measures the dynamics of the chaotic circuit with a sensor (analog-to-digital converters) in real time and receives a desired trajectory V1,des for the V1, variable, and computes a suitable control signal (red) that drives the circuit to the desired trajectory.Credit: Nature Communications (2024). DOI: 10.1038/s41467-024-48133-3
Systems controlled by next-generation computing algorithms ...
Copyright of this story solely belongs to phys.org . To see the full text click HERE
