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In this paper, a novel active noise control (ANC) scheme based on neural networks is presented for nonlinear ANC systems without the identification of secondary path by introducing virtual primary noises. The ANC system is analyzed in the form of discrete-time state equations. The proposed controller employs neural networks to attenuate the noises. The proposed scheme does not require the dynamical...
This paper proposes an adaptive observer for discrete MIMO systems with unknown dynamics and time-delay. The case that the system output equation has time-delay and nonlinearities is also studied. The delayed states in the system are with a nonlinear form and only the estimated delay is utilized. By using a high-order neural network (HONN), the precise system model, and the Lipschitz or norm-boundedness...
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