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This paper aims to the random and uncertain network delays, a novel approach is proposed that new Smith predictor combined with adaptive PID control with RBF neural network for networked control systems (NCS). This novel Smith predictor comes true to hide predictor models of the network delays into real network data transmission processes, therefore network delays donpsilat need to be measured, identified...
This paper aims to the random and uncertain network delay, as well as controlled plant might be time-variant or nonlinear, a novel approach is proposed that novel Smith predictor combined with the radial basis function neural network (RBFNN) control for the networked control systems (NCS). This novel Smith predictor comes true to hide predictor models of the network delays of the forward and return...
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