Mengzhuo Luo
According to our database1,
Mengzhuo Luo
authored at least 15 papers
between 2009 and 2023.
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Bibliography
2023
Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Event-based sliding mode control for fuzzy singular systems with semi-Markovian switching parameters.
J. Frankl. Inst., February, 2023
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., 2023
2021
Asynchronous filtering for nonhomogeneous Markov jumping systems with deception attacks.
Appl. Math. Comput., 2021
2019
An extended synchronization analysis for memristor-based coupled neural networks via aperiodically intermittent control.
Appl. Math. Comput., 2019
2018
Simultaneous Finite-Time Control and Fault Detection for Singular Markovian Jump Delay Systems with Average Dwell Time Constraint.
Circuits Syst. Signal Process., 2018
2016
An impulsive two-stage predator-prey model with stage-structure and square root functional responses.
Math. Comput. Simul., 2016
2014
Robust Fault Detection of Uncertain Time-Delay Markovian Jump Systems with Different System Modes.
Circuits Syst. Signal Process., 2014
2013
New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays.
Neurocomputing, 2013
2012
Exponential Passification of Markovian Jump Nonlinear Systems with Partially Known Transition Rates.
J. Appl. Math., 2012
Global dissipativity of uncertain discrete-time stochastic neural networks with time-varying delays.
Neurocomputing, 2012
Passivity analysis and passification of uncertain Markovian jump systems with partially known transition rates and mode-dependent interval time-varying delays.
Comput. Math. Appl., 2012
2011
Improved Stability Criteria for Discrete-Time Stochastic Neural Networks with Randomly Time-Varying Delays.
Proceedings of the Bio-Inspired Computing and Applications, 2011
2009
Robust stability analysis for discrete-time stochastic neural networks systems with time-varying delays.
Appl. Math. Comput., 2009
Delay-Dependent Robust Global Asymptotic Stability for Stochastic Neural Networks with Discrete-Delay and Unbounded Distributed Delays.
Proceedings of the Eighth IEEE International Conference on Dependable, 2009