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Author:

Li, HY (Li, HY.) | Chen, J (Chen, J.) | Chen, K (Chen, K.) | Tan, YS (Tan, YS.)

Indexed by:

CPCI-S EI Scopus

Abstract:

During the course of Adaptive Active Noise Control (AANC), the final noise canceling effect of the AANC is in close relationship with the arrangements of error sensors. in this paper, the problems of optimizing positions of error sensors have been investigated by using the Genetic Algorithm (GA), and are difficult to be solved by using the conventional gradient search method. The computer simulations show that the optimal positions found by the GA coincide with the results theoretically calculated.

Keyword:

Adaptive Active Noise Control (AANC) error sensor Genetic Algorithm (GA)

Author Community:

  • [ 1 ] Xian Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Peoples R China

Reprint Author's Address:

  • Xian Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Peoples R China.

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Source :

PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5

Year: 2000

Page: 561-563

Language: Chinese

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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