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王苗苗
WANG MIAO MIAO
研究员（自然科学） Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Professional Title:研究员（自然科学）
Status:Employed
Department:School of Artifical Intelligence and Automation
Education Level:Postgraduate (Doctoral)
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M. Wang and A. Tayebi, ‘Hybrid feedback for affine nonlinear systems with application to global obstacle avoidance’, IEEE Transactions on Automatic Control, to appear, 2024. .
M. Wang and A. Tayebi, ‘Nonlinear attitude estimation using intermittent and multirate vector measurements’, IEEE Transactions on Automatic Control, to appear, 2024. (Regular Paper) .
M. Wang, S. Berkane, and A. Tayebi, ‘Nonlinear observers design for vision-aided inertial navigation systems’, IEEE Transactions on Automatic Control, 67(4), pp. 1853-1868, 2022. (Regular Paper) .
M. Wang and A. Tayebi, ‘Hybrid feedback for global tracking on matrix Lie Groups SO(3) and SE(3)’, IEEE Transactions on Automatic Control, 67(6), pp.2930-2945, 2022. (Regular Paper) .
M. Wang and A. Tayebi, ‘Nonlinear state estimation for inertial navigation systems with intermittent measurements’, Automatica, 122, 109244, 2020. (Regular Paper) .
M. Wang and A. Tayebi, ‘Hybrid nonlinear observers for inertial navigation using landmark measurements’, IEEE Transactions on Automatic Control, 65(12), pp. 5173-5188, 2020. (Regular Paper) .
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