RRNN-Based Sliding Mode Control of Obstacle Breaking Weapon

TANG Dong; GAO Qiang; HOU Yuanlong; SHI Difen; ZHOU Shenglong; LIU Yuqi

doi:10.3969/j.issn.1671-637x.2022.01.008

Journals >Electronics Optics & Control >Volume 29 >Issue 1 >Page 37 > Article

Electronics Optics & Control
Vol. 29, Issue 1, 37 (2022)

RRNN-Based Sliding Mode Control of Obstacle Breaking Weapon

TANG Dong¹, GAO Qiang¹, HOU Yuanlong¹, SHI Difen¹, ZHOU Shenglong¹, and LIU Yuqi²

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2022.01.008 Cite this Article

TANG Dong, GAO Qiang, HOU Yuanlong, SHI Difen, ZHOU Shenglong, LIU Yuqi. RRNN-Based Sliding Mode Control of Obstacle Breaking Weapon[J]. Electronics Optics & Control, 2022, 29(1): 37 Copy Citation Text

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References

[2] WEI S G,YUAN D,MA X J,et al.Nonlinear backstepping sliding mode control for tank gun-control system［C］//The 2nd International Conference on Mechanic Automation and Control Engineering.Inner Mongolia:IEEE,2011:7476-7478.

[3] RUBAAI A,KOTARU R,KANKAM M D.Online training of parallel neural network estimators for control of induction motors［J］.IEEE Transactions on Industry Applications,2001,37(5):1512-1521.

TANG Dong, GAO Qiang, HOU Yuanlong, SHI Difen, ZHOU Shenglong, LIU Yuqi. RRNN-Based Sliding Mode Control of Obstacle Breaking Weapon[J]. Electronics Optics & Control, 2022, 29(1): 37

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