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Mengzhuo Luo
ORCID
Publication Activity (10 Years)
Years Active: 2009-2024
Publications (10 Years): 11
Top Topics
Neural Network
Fault Detection
Filter Design
Subtractive Clustering
Top Venues
Int. J. Fuzzy Syst.
J. Frankl. Inst.
Appl. Math. Comput.
Commun. Nonlinear Sci. Numer. Simul.
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Publications
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Linghuan Kong
,
Mengzhuo Luo
,
Jun Cheng
,
Huaicheng Yan
,
Iyad A. Katib
,
Kaibo Shi
Protocol-based state estimation of two-time-scale complex networks with nonhomogeneous sojourn probabilities.
Commun. Nonlinear Sci. Numer. Simul.
137 (2024)
Zhengli Liu
,
Mengzhuo Luo
,
Jun Cheng
,
Iyad A. Katib
,
Kaibo Shi
Security synchronization problem for stochastic complex networks via event-triggered impulsive control with actuation delays.
Commun. Nonlinear Sci. Numer. Simul.
133 (2024)
Linghuan Kong
,
Mengzhuo Luo
,
Jun Cheng
,
Iyad A. Katib
,
Kaibo Shi
,
Shouming Zhong
Quantization-Based Event-Triggering Fault Detection Filtering for T-S Fuzzy Singular Semi-Markovian Jump Systems Against Multi-cyber-attacks.
Int. J. Fuzzy Syst.
26 (4) (2024)
Yuxin Lou
,
Mengzhuo Luo
,
Jun Cheng
,
Kaibo Shi
,
Iyad A. Katib
Improved asynchronous fault detection filter design for singular fuzzy Markovian jump systems against multi-cyber-attacks.
J. Frankl. Inst.
361 (7) (2024)
Linghuan Kong
,
Mengzhuo Luo
,
Jun Cheng
,
Xin Wang
,
Kaibo Shi
Interval Type-2 Fuzzy Dissipative Control for Multiagent Systems with Markovian Switching Parameters Via Dynamic Event-Triggered and Double-Quantized Schemes.
Int. J. Fuzzy Syst.
25 (5) (2023)
An Lin
,
Jun Cheng
,
Leszek Rutkowski
,
Shiping Wen
,
Mengzhuo Luo
,
Jinde Cao
Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol.
IEEE Trans. Neural Networks Learn. Syst.
34 (11) (2023)
Mengzhuo Luo
,
Jun Cheng
,
Xin Wang
,
Kaibo Shi
Event-based sliding mode control for fuzzy singular systems with semi-Markovian switching parameters.
J. Frankl. Inst.
360 (3) (2023)
Yuyan Wu
,
Jun Cheng
,
Xia Zhou
,
Jinde Cao
,
Mengzhuo Luo
Asynchronous filtering for nonhomogeneous Markov jumping systems with deception attacks.
Appl. Math. Comput.
394 (2021)
Mengzhuo Luo
,
Jun Cheng
,
Xinzhi Liu
,
Shouming Zhong
An extended synchronization analysis for memristor-based coupled neural networks via aperiodically intermittent control.
Appl. Math. Comput.
(2019)
Mengzhuo Luo
,
Shouming Zhong
,
Jun Cheng
Simultaneous Finite-Time Control and Fault Detection for Singular Markovian Jump Delay Systems with Average Dwell Time Constraint.
Circuits Syst. Signal Process.
37 (12) (2018)
Xiangmin Ma
,
Yuanfu Shao
,
Zhen Wang
,
Mengzhuo Luo
,
Xianjia Fang
,
Zhixiang Ju
An impulsive two-stage predator-prey model with stage-structure and square root functional responses.
Math. Comput. Simul.
119 (2016)
Mengzhuo Luo
,
Shouming Zhong
Robust Fault Detection of Uncertain Time-Delay Markovian Jump Systems with Different System Modes.
Circuits Syst. Signal Process.
33 (1) (2014)
Mengzhuo Luo
,
Shouming Zhong
New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays.
Neurocomputing
116 (2013)
Mengzhuo Luo
,
Shouming Zhong
Global dissipativity of uncertain discrete-time stochastic neural networks with time-varying delays.
Neurocomputing
85 (2012)
Mengzhuo Luo
,
Shouming Zhong
Exponential Passification of Markovian Jump Nonlinear Systems with Partially Known Transition Rates.
J. Appl. Math.
2012 (2012)
Mengzhuo Luo
,
Shouming Zhong
Passivity analysis and passification of uncertain Markovian jump systems with partially known transition rates and mode-dependent interval time-varying delays.
Comput. Math. Appl.
63 (7) (2012)
Mengzhuo Luo
,
Shouming Zhong
Improved Stability Criteria for Discrete-Time Stochastic Neural Networks with Randomly Time-Varying Delays.
ICIC (3)
(2011)
Mengzhuo Luo
,
Shouming Zhong
,
Rongjun Wang
,
Wei Kang
Robust stability analysis for discrete-time stochastic neural networks systems with time-varying delays.
Appl. Math. Comput.
209 (2) (2009)
Jinzhong Cui
,
Mengzhuo Luo
,
Shouming Zhong
Delay-Dependent Robust Global Asymptotic Stability for Stochastic Neural Networks with Discrete-Delay and Unbounded Distributed Delays.
DASC
(2009)