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• W1972939355 abstract "Active noise control (ANC) is broadly used to cancel the unwanted disturbance in different fields because of its excellent performance in abating low-frequency noise. In practice, however, the limited driving capability of actuators restrict the maximum output power of ANC systems. Once the driving signal of the ANC system exceeds these limitations, the inherent nonlinearity of the actuators will deteriorate the noise reduction and may result in the divergence of the adaptive algorithm. Hence, the two-gradient direction filtered-x least mean square (2GD-FXLMS) algorithm based on the optimal Kuhn-Tucker solution with the output constraint is proposed in this paper. This algorithm has the advantage of minimizing system overdriving, maintaining a specified power budget, and enhancing system stability. Compared to existing output-constrained adaptive algorithms, this proposed algorithm has the same computational complexity as the conventional FXLMS algorithm, while maintaining a stricter output constraint that minimizes the saturation distortion." @default.
• W1972939355 created "2016-06-24" @default.
• W1972939355 creator A5029785409 @default.
• W1972939355 creator A5063904858 @default.
• W1972939355 date "2003-02-01" @default.
• W1972939355 modified "2023-10-18" @default.
• W1972939355 title "Applying effort constraints on adaptive feedforward control using the active set method" @default.
• W1972939355 cites W1483815626 @default.
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• W1972939355 doi "https://doi.org/10.1016/s0022-460x(02)01105-7" @default.
• W1972939355 hasPublicationYear "2003" @default.
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