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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Hidden-Markov-Model-Based Asynchronous $H_{\infty }$ Tracking Control of Fuzzy Markov Jump Systems
TL;DR: This article is concerned with the problem of imperfect premise matching asynchronous output tracking control for Takagi–Sugeno fuzzy Markov jump systems and the mode-dependent and fuzzy-basis-dependent stability criteria are derived and the asynchronous control scheme is developed subject to an inline-formula.
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A3C-Based Intelligent Event-Triggering Control of Networked Nonlinear Unmanned Marine Vehicles Subject to Hybrid Attacks
TL;DR: A stochastic switched Takagi-Sugeno (T-S) fuzzy system model is proposed for the networked nonlinear UMV systems subject to aperiodic DoS attack and random Deception attack and a novel asynchronous advantage actor-critic learning-based event-triggering approach is introduced to alleviate the communication load.
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Aperiodic Sampled-Data-Based Control for Interval Type-2 Fuzzy Systems via Refined Adaptive Event-Triggered Communication Scheme
TL;DR: A complete dual-directional regulating mechanism with sensitivity to state variation is reasonably created to give extra flexibility, which is beneficial for a preferable tradeoff between control performance and network resource.
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Stability and dissipative analysis for a class of stochastic system with time-delay
TL;DR: By introducing an extra artificial time instance, the equivalent system is obtained and the sufficient conditions are derived by using linear matrix inequality (LMI) techniques.
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Analysis of optimal performance of MIMO networked control systems with encoding and packet dropout constraints
TL;DR: The results show that the positions and directions of the non-minimum phase zeros and unstable poles of a given plant are related to the optimal tracking error.