Internal Model Control of Amphibious Weapons Based on Wavelet Neural Network

WU Kaili; HOU Yuanlong; GAO Qiang; KE Yufeng; HE Yukun

doi:10.3969/j.issn.1671-637x.2021.01.010

Journals >Electronics Optics & Control >Volume 28 >Issue 1 >Page 41 > Article

Electronics Optics & Control
Vol. 28, Issue 1, 41 (2021)

Internal Model Control of Amphibious Weapons Based on Wavelet Neural Network

WU Kaili, HOU Yuanlong^*, GAO Qiang, KE Yufeng, and HE Yukun

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[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2021.01.010 Cite this Article

WU Kaili, HOU Yuanlong, GAO Qiang, KE Yufeng, HE Yukun. Internal Model Control of Amphibious Weapons Based on Wavelet Neural Network[J]. Electronics Optics & Control, 2021, 28(1): 41 Copy Citation Text

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References

[4] HE Y Z, ZHENG S Q, FANG J C.Start-up current adaptive control for sensorless high-speed brushless DC motors based on inverse system method and internal mode controller［J］.Chinese Journal of Aeronautics, 2017, 30(1):358-367.

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[1] ZHU Rixing, WU Guohong. Parameter Optimization Design of Aeroengine min-max Controller Based on PSO[J]. Electronics Optics & Control, 2022, 29(8): 98

WU Kaili, HOU Yuanlong, GAO Qiang, KE Yufeng, HE Yukun. Internal Model Control of Amphibious Weapons Based on Wavelet Neural Network[J]. Electronics Optics & Control, 2021, 28(1): 41

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