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For a class of complex nonlinear systems, combined with the characteristics of fuzzy PID and neural network technology, a fuzzy adaptive control strategy with dynamical compensation of single neuron is presented. A single neuron network is used as the dynamical compensator to eliminate unmodeled and nonlinear coupled effects so that the error can be(More)
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