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A macro–meso–residual expert ensemble network (MMR-EENet) that combines multiscale convolutional feature extraction with a dual-path mixture-of-expert decision mechanism, enhancing decision robustness and feature diversity is proposed.
Magnetorheological (MR) semi-active suspensions can rapidly tune damping for ride-comfort improvement, yet LQR-clipped control remains constrained by a structural mismatch: an unconstrained LQR law generates an ideal force that is subsequently projected onto the feasible MR damper envelope. This paper therefore reformu...
An efficient diagnostic framework based on a field-programmable gate array (FPGA)-accelerated SNN integrating local spike-timing-dependent plasticity and global backpropagation through time is proposed, outperforming existing lightweight convolutional neural network-FPGA acceleration schemes.
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