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.
Papers
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Journal ArticleDOI
Stochastic Event-Based Distributed Fusion Estimation Over Sensor Networks With Fading Channel
TL;DR: The problem of the stochastic event-based distributed fusion estimation for a class of Gaussian systems is investigated and a two-step fusion estimation method is developed, which can relieve the network transmission burden.
Journal ArticleDOI
Finite-Time Stabilization of Markov Switching Singularly Perturbed Models
TL;DR: In this paper , finite-time stabilization of discrete-time stochastic singularly perturbed models is studied, in which the process is regulated by a Markov chain with partially unknown transition probabilities (TPs).
Journal ArticleDOI
Reliable Control for Flexible Spacecraft Systems With Aperiodic Sampling and Stochastic Actuator Failures.
TL;DR: A membership-sampling-dependent Lyapunov-Krasovskii functional (MSDLKF) is introduced to utilize the information of fuzzy membership functions and aperiodic sampling modes and the solution of the fuzzy controller gains can be obtained by solving a set of linear matrix inequalities (LMIs).
Journal ArticleDOI
Delay-range-dependent robust H∞ filtering for uncertain systems with interval time-varying delays†
TL;DR: In this article, the authors proposed a delay-range-dependent robust H∞ filtering for systems with time-varying delays in a range, where the desired filter can be constructed by solving a set of linear matrix inequalities (LMIs).
Proceedings ArticleDOI
Sliding Mode Observer(SMO)Based Adaptive Backstepping Control for a Multi-Vectored Propeller Airship [1]
TL;DR: A path following method for a sensorless airship (assume the angular velocity and velocity sensors are destroyed) by using SMO-based adaptive backstepping approach using the nonlinear dynamics and kinematics model.