Active noise control (ANC) is a typical signal-processing technique that has recently been
utilized extensively to combat the urban noise problem. Although numerous advanced …

This paper presents a comparison of contemporary algorithms aimed at mitigating the
saturation-induced challenges in active noise control (ANC) systems. The saturation effect …

The selective fixed-filter active noise control (SFANC) approach can select suitable pre-
trained control filters for different types of noise. With the learning ability of convolutional …

Abstract The recent Generative Fixed-filter Active Noise Control (GFANC) method achieves
a good trade-off between noise reduction performance and system stability. However …

To achieve accurate damage localization for CFRP structures in various scenarios with
limited sample sizes, this paper proposes a novel transfer learning strategy called the …

Delayless noise control is achieved by our earlier generative fixed-filter active noise control
(GFANC) framework through efficient coordination between the co-processor and real-time …

This paper introduces an enhanced time synchronization method different from IEEE 1588
(PTP). The proposed algorithm employs a unique synchronous message packet structure …

This article offers an elaborate description of a Kalman filter code employed in the active
control system. Conventional active noise management methods usually employ an …

Precise estimation of both state-of-charge (SoC) and state-of-health (SoH) is crucial for
optimizing electric vehicle (EV) performance and enhancing the battery lifetime, safety, and …

In this paper, we present a novel approach to state estimation in dynamic systems by
combining Physics-Informed Neural Networks (PINNs) with an adaptive Unscented Kalman …