A dual filtering scheme for nonlinear active noise control

DOI10.1002/acs.2452zbMath1334.93170OpenAlexW1517047376MaRDI QIDQ2800927

D. Delvecchio, Luigi Piroddi

Publication date: 19 April 2016

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2452

zbMATH Keywords

active noise controlnonlinear adaptive filtersNARX modelsnonlinear model selection

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10)

Cites Work

• Unnamed Item
• New FIR filter-based adaptive algorithms incorporating with commutation error to improve active noise control performance
• Adaptive reduced feedback FLNN filter for active control of nonlinear noise processes
• Dynamical effects of overparametrization in nonlinear models
• A stability condition for adaptive recursive second-order polynomial filters
• New IIR filter-based adaptive algorithm in active noise control applications: Commutation error-introduced LMS algorithm and associated convergence assessment by a deterministic approach
• Input-output parametric models for non-linear systems Part II: stochastic non-linear systems
• An identification algorithm for polynomial NARX models based on simulation error minimization
• Fast Adaptive Algorithms for Active Control of Nonlinear Noise Processes
• Identification of MIMO non-linear systems using a forward-regression orthogonal estimator
• A fast nonlinear model identification method

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