P
Peng Yan
Researcher at Shandong University
Publications - 186
Citations - 1903
Peng Yan is an academic researcher from Shandong University. The author has contributed to research in topics: Finite element method & Voice coil. The author has an hindex of 20, co-authored 163 publications receiving 1370 citations. Previous affiliations of Peng Yan include Beihang University & Guangdong University of Technology.
Papers
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Journal ArticleDOI
Stability Analysis of Switched Time Delay Systems
Peng Yan,Hitay Özbay +1 more
TL;DR: Piecewise Lyapunov-Razumikhin functions are introduced for the switching candidate systems to investigate the stability in the presence of an infinite number of switchings, providing sufficient conditions in terms of the minimum dwell time to guarantee asymptotic stability.
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A new model analysis approach for bridge-type amplifiers supporting nano-stage design
Pengbo Liu,Peng Yan,Peng Yan +2 more
TL;DR: In this article, the authors present a new analysis method for bridge-type amplifiers by incorporating the effect of external loads, and establish a theoretical model to predict the input/output displacement amplification ratio based on elastic beam theory.
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A variable structure control approach to active queue management for TCP with ECN
Peng Yan,Yuan Gao,Hitay Özbay +2 more
TL;DR: This paper designs a variable structure (VS) based control scheme in active queue management (AQM) supporting explicit congestion notification (ECN) and shows that the proposed design significantly outperforms the peer AQM schemes in terms of packet loss ratio, throughput and buffer fluctuation.
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A Novel Statistical Time-Frequency Analysis for Rotating Machine Condition Monitoring
Teng Wang,Guoliang Lu,Peng Yan +2 more
TL;DR: The proposed method has been applied to three different engineering applications to evaluate its effectiveness: load CM; early bearing failure detection; and speed CM, and significant improvements of the proposed method were demonstrated, indicating its good potentials in engineering applications.
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Robust adaptive backstepping control for piezoelectric nano-manipulating systems ☆
TL;DR: In this paper, a robust adaptive backstepping-like control approach is developed such that parametric uncertainties can be estimated adaptively while the nonlinear dynamics and external disturbances are treated as bounded disturbances for robust elimination.