Huabin Chen

Dr. Huabin Chen

School of Science, Nanchang University, Nanchang 330031, China
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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 February 2019 in IEEE Transactions on Neural Networks and Learning Systems
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Journal Article
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Huabin ChenHuabin Chen
Huabin Chen
PSPeng Shi
Peng Shi
CLCheng-Chew Lim
Cheng-Chew Lim
This paper studies the problem of cluster synchronization at exponential rates in both the mean square and almost sure senses for neutral stochastic coupled neural networks with time-varying delay via a periodically intermittent pinning adaptive control strategy. The network topology can be symmetric or asymmetric, with each network node being described by neutral stochastic delayed neural networks. When considering the exponential stabilization in the mean square sense for neutral stochastic delay system, the delay integral inequality approach is used to circumvent the obstacle arising from the coexistence of random disturbance, neutral item, and time-varying delay. The almost surely exponential stabilization is also analyzed with the nonnegative semimartingale convergence theorem. Sufficient criteria on cluster synchronization at exponential rates in both the mean square and almost sure senses of the underlying networks under the designed control scheme are derived. The effectiveness of the obtained theoretical results is illustrated by two examples.

29 June 2016 in International Journal of Robust and Nonlinear Control
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Huabin ChenHuabin Chen
Huabin Chen
PSPeng Shi
Peng Shi
CLCheng‐Chew Lim
Cheng‐Chew Lim

1 December 2017 in Systems & Control Letters
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Huabin ChenHuabin Chen
Huabin Chen
PSPeng Shi
Peng Shi
CLCheng-Chew Lim
Cheng-Chew Lim

17 December 2018 in IEEE Transactions on Systems, Man, and Cybernetics: Systems
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Journal Article
Closed access
Huabin ChenHuabin Chen
Huabin Chen
PSPeng Shi
Peng Shi
CLCheng-Chew Lim
Cheng-Chew Lim
This paper considers the problems on the mean square exponential synchronization and the almost surely exponential synchronization for neutral stochastic dynamical delay networks with Markovian switching via the single pinning impulsive control. By using a unified approach incorporating the concept of average impulsive interval and Lyapunov function, and the Borel-Cantelli lemma, two criteria on the mean square exponential stability and the almost surely exponential stability for impulsive neutral stochastic delay systems with Markovian switching are derived. It is shown that the impulsive control with a suitable impulsive strength can stochastically stabilize the underlying systems. With the symmetry and irreducibility of the switching topologies, and the obtained stochastic stability criteria, sufficient conditions are derived to determine the mean square exponential synchronization of the underlaying networks via the single pinning impulsive controller, which are given with algebraic inequalities and M-matrix. The almost surely exponential synchronization is also analyzed. Two examples are given to verify the validity of the theoretic results presented.

4 January 2021 in SIAM Journal on Control and Optimization
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Journal Article
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Huabin ChenHuabin Chen
Huabin Chen
CLCheng-Chew Lim
Cheng-Chew Lim
PSPeng Shi
Peng Shi
This paper addresses the problems of the input-to-state stochastic stability for neutral switched stochastic delay systems. Two switching signals in the input controller, including the external inp...