TY - GEN
T1 - Adaptive nonlinear controller with integrated evaluation criterion for active noise attenuation
AU - Zhang, Xinghua
AU - Ren, Xuemei
PY - 2009
Y1 - 2009
N2 - A novel adaptive nonlinear controller is presented for nonlinear active noise control systems, which is expanded by memory function mapping on the basis of a single neuron structure, and a generalized filtered-X gradient descent algorithm is developed to attenuate the nonlinear, non-Gaussian noises, which defines the weighted sum of Renyi's quadratic error entropy and the mean square error as the integrated evaluation criterion. Parzen-window estimation method is utilized to estimate the probability density function in the proposed algorithm. In addition, the convergence of the proposed approach is analyzed. The overall scheme has a relative simple structure and less learning parameters, which can deal with nonlinear and non-Gaussian noises. The simulation results demonstrate the validity of the proposed method.
AB - A novel adaptive nonlinear controller is presented for nonlinear active noise control systems, which is expanded by memory function mapping on the basis of a single neuron structure, and a generalized filtered-X gradient descent algorithm is developed to attenuate the nonlinear, non-Gaussian noises, which defines the weighted sum of Renyi's quadratic error entropy and the mean square error as the integrated evaluation criterion. Parzen-window estimation method is utilized to estimate the probability density function in the proposed algorithm. In addition, the convergence of the proposed approach is analyzed. The overall scheme has a relative simple structure and less learning parameters, which can deal with nonlinear and non-Gaussian noises. The simulation results demonstrate the validity of the proposed method.
KW - Active noise control
KW - Integrated evaluation criterion
KW - Memory function mapping
KW - Non-Gaussian noises
KW - Renyi's quadratic error entropy
UR - https://www.scopus.com/pages/publications/77949618598
U2 - 10.1109/ICICISYS.2009.5358348
DO - 10.1109/ICICISYS.2009.5358348
M3 - Conference contribution
AN - SCOPUS:77949618598
SN - 9781424447541
T3 - Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
SP - 541
EP - 546
BT - Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
T2 - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Y2 - 20 November 2009 through 22 November 2009
ER -