H
Huaicheng Yan
Researcher at East China University of Science and Technology
Publications - 316
Citations - 6933
Huaicheng Yan is an academic researcher from East China University of Science and Technology. The author has contributed to research in topics: Computer science & Control theory (sociology). The author has an hindex of 35, co-authored 166 publications receiving 4128 citations. Previous affiliations of Huaicheng Yan include China University of Geosciences (Wuhan) & East China Jiaotong University.
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A novel starting method with reactive power compensation for induction motors
TL;DR: In this paper , a starting method for induction motors based on the autotransformer and the magnetically controlled reactor (ATMCR) is proposed to improve the power factor and overcome the voltage drop effectively.
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Optimal modified tracking performance for MIMO networked control systems with communication constraints.
TL;DR: The obtained results show that the optimal modified tracking performance of multi-input multi-output (MIMO) networked control systems (NCSs) with packet dropouts and bandwidth constraints is related to the intrinsic properties of a given plant such as non-minimum phase (NMP) zeros, unstable poles, and their directions.
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Robust Adaptive Fixed-Time Sliding-Mode Control for Uncertain Robotic Systems With Input Saturation
TL;DR: In this paper , a robust adaptive fixed-time sliding-mode control method is proposed for robotic systems with parameter uncertainties and input saturation, where the Gaussian radial basis function neural networks (NNs) are selected to approximate the compounded uncertainty.
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Adaptive quantised control of switched stochastic strict-feedback non-linear systems with asymmetric input saturation
TL;DR: By combining the common Lyapunov function method, backstepping technique and neural network approximation-based approach, a simple common adaptive tracking control scheme involving one adaptive parameter only is presented for such systems under arbitrary switching.
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Dynamic Event-Based Non-Fragile Dissipative State Estimation for Quantized Complex Networks With Fading Measurements and Its Application
TL;DR: A dynamic event-based non-fragile estimator such that, for all possible parameter fluctuations in estimator gains, the estimation error system is stochastically stable with a strict model of Dissipativity.