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A nonlinear output feedback controller is proposed in this paper based on neural networks. A compound neural network is constructed to identify the dynamic nonlinear system including single-input-single-output (SISO) system and multi-input-multi-output (MIMO) system. One part of the CNN is a linear feedforward neural network (LFNN), which as used to approximate the nonlinear system. The other part...
We present a new transmission scheme which apply the linear dispersion code (LDC) to a single transmit antenna in the OFDM system. Our scheme, named virtual LDC, transfers the LDC substreams through the multiple uncorrelated OFDM subchannels. The virtual LDC scheme can achieve the coding and diversity advantage as well as LDC in MIMO. It is shown that the virtual LDC scheme can improve the BER performance...
A compound neural network (CNN) which includes a linear feed-forward neural network (LFNN) and a recurrent neural network (RNN) is constructed to identify nonaffine dynamic nonlinear systems. Because the current control input is not included in the input vector of the recurrent neural network, output feedback control laws of nonlinear systems can be easily obtained from one-step predictive models...
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