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In order to effectively restrain the impact of network delays, a novel approach is proposed that new Smith predictor combined with the generalized predictive control (GPC) in the networked control systems (NCS). Because new Smith predictor hides predictor model of the network delay into real network data transmission process, further the network delay no longer need to be measured, identified or estimated...
This A novel approach to random, time-variant network delay in the networked control systems (NCSs) and a controlled plant is proposed in this paper. The approach is a new Smith predictor combined with fuzzy radial basis function neural network (FRBFNN) control. It can identify the controlled plant and adaptively adjusts weights of the controller. Because new Smith predictor hides predictor model...
This paper aims to random, time-variant and uncertain network delay in the networked control systems (NCS), a new approach is proposed that radial basis function neural network (RBFNN) control combined with new Smith predictor for the NCS. This approach can identify the controlled plant and adaptively adjusts weights of the controller. Because new Smith predictor does not include network delay models,...
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