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Yingyun He on Muck Rack

Yingyun He

As seen in: Wiley Online Library, Taylor & Francis Online, ACS Publications, Royal Society of Chemistry
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Articles

Formic Acid Enhanced Single-Pot Sample Preparation to Improve Identification Coverage of Membrane Proteome of Laser Capture Microdissected Tissue Sections Click to copy article link Article link copied!

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By Yingyun He, Xinyu He, Dan Liu
| ACS Publications
Cite Jump to ExpandCollapse Technical NoteJuly 23, 2026 Formic Acid Enhanced Single-Pot Sample Preparation to Improve Identification Coverage of Membrane Proteome of Laser Capture Microdissected Tissue Sections Click to copy article linkArticle link copied! Yingyun He Yingyun He State Key Laboratory of Medical Proteomics, National Chromatographic R. & A.
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Adaptive optimised backstepping control of output-constrained nonlinear systems with input delay

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By Ding Wang, Xinrui Ma, Ao Liu, Yingyun He
| Taylor & Francis Online
Abstract In this paper, an adaptive critic method is developed for addressing the optimised backstepping (OB) control of uncertain nonlinear systems. The identifier-critic-action architecture is constructed combined with neural networks. Besides, the barrier Lyapunov function (BLF) is used to handle output constraints. To simplify the backstepping design and improve computational efficiency, Pade approximation is utilised for the input delay, rather than Lyapunov-Krasovskii functionals.
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Value‐Iteration‐Based Robust Adaptive Critic for Disturbed Non‐Affine Continuous‐Time Systems

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By Ao Liu, Beijing Laboratory, Ding Wang, Yingyun He
| Wiley Online Library Verified
In this paper, a novel value-iteration-based adaptive critic scheme is developed to address the control problem for non-linear non-affine continuous-time (CT) systems with disturbances. Recurrent neural networks are employed to model the non-linear non-affine systems, thereby covering the unknown system dynamics. Based on the transformation of the optimal-robust problem, the control issue is established to deal with disturbances.
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