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 New Looped Functional to Synchronize Neural Networks With Sampled-Data Control.
TL;DR: A novel looped functional is introduced in the construction of Lyapunov functional, employing a generalized free-matrix-based integral inequality (GFMBII) and several sufficient conditions are derived to ensure that the slave system is synchronous with the master system.
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Output Tracking Control of Single-Input-Multioutput Systems Over an Erasure Channel.
TL;DR: The output tracking control problem is investigated and it is shown that the tracking control performance has a close relation with the intrinsic characteristic of the plant, as well as the time delay, packet-dropouts rate, and power spectral density of AWGN.
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Observer-based decentralized event-triggered H∞ control for networked systems
TL;DR: Under the decentralized event-triggered transmission scheme, H ∞ performance analysis for the resultant closed-loop system is made, and an algorithm to designing suitable observers and controllers is presented as well.
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Output-Feedback Control for Fuzzy Singularly Perturbed Systems: A Nonhomogeneous Stochastic Communication Protocol Approach.
TL;DR: In this article, a non-homogeneous Markov communication protocol (SCP) is proposed to alleviate the communication load and improve the reliability of signal transmission, where the time-varying transition probability matrix is characterized by a polytope-structure-based set.
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Bipartite Consensus for Second Order Multi-Agent Systems With Exogenous Disturbance via Pinning Control
TL;DR: It is demonstrated that leader-following bipartite consensus for nonlinear MASs can be realized if a fraction of the agents are controlled under some sufficient conditions and the effectiveness of the developed approach is verified via simulations.