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Robust performance optimization of UAV dynamic systems using MPC-PID hybrid control. [PDF]
Zhou W, Zhou L, Yuan T, Chen R, Liu D.
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Active inference and speech motor control. [PDF]
Bradshaw AR, Press C, Davis MH.
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Recurrent issues with deep neural network models of visual recognition. [PDF]
Maniquet T, de Beeck HO, Costantino AI.
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Employing feedforward backpropagated neural network for Doppler scale estimation in underwater acoustic CP-OFDM communication. [PDF]
Muzzammil M +4 more
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Efficient Working Memory Maintenance via High-Dimensional Rotational Dynamics
Ritter L, Chadwick A.
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Approximate feedforward control
2015 10th Asian Control Conference (ASCC), 2015Disturbances are inevitable in most control systems. They drive the systems away from their set points. It takes time for feedback control to reject them. The feedforward control offers great potentials for regulation performance if the disturbances are measurable.
Xian Li, Qing-Guo Wang, Wen-Jian Cai
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