Mingang Hua
Orcid: 0000-0001-5032-2348
According to our database1,
Mingang Hua
authored at least 37 papers
between 2010 and 2024.
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Bibliography
2024
A novel unbiased H∞ filter design for 2-D Markov jump systems in the Roesser model with general transition probabilities.
J. Frankl. Inst., 2024
2023
H<sub>∞</sub> Filtering for Discrete-Time Periodic Markov Jump Systems With Quantized Measurements: A New Packet Loss Compensation Strategy.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023
Robust exponential stability of discrete-time uncertain impulsive stochastic neural networks with delayed impulses.
Neural Networks, March, 2023
2022
Filtering for Discrete-Time Takagi-Sugeno Fuzzy Nonhomogeneous Markov Jump Systems With Quantization Effects.
IEEE Trans. Cybern., 2022
2021
H<sub>∞</sub> Filtering for Nonhomogeneous Markovian Jump Repeated Scalar Nonlinear Systems With Multiplicative Noises and Partially Mode-Dependent Characterization.
IEEE Trans. Syst. Man Cybern. Syst., 2021
2020
Quantized peak-to-peak filtering for continuous-time nonhomogeneous Markov jump systems with structured uncertainty.
J. Frankl. Inst., 2020
Quantized \(H_{\infty }\) Filtering for Continuous-Time Nonhomogeneous Markov Jump Systems.
Circuits Syst. Signal Process., 2020
2019
H∞ filtering problem for Markov jump neutral systems with nonlinear perturbations and uncertain transition probabilities.
Proceedings of the IEEE EUROCON 2019, 2019
2018
Robust <i>H</i><sub>∞</sub> filtering for continuous-time nonhomogeneous Markov jump nonlinear systems with randomly occurring uncertainties.
Signal Process., 2018
\(H_{\infty }\) filter design for delayed static neural networks with Markovian switching and randomly occurred nonlinearity.
Int. J. Mach. Learn. Cybern., 2018
Robust exponential stability of uncertain impulsive stochastic neural networks with delayed impulses.
J. Frankl. Inst., 2018
Partially mode-dependent l2-l∞ filtering for discrete-time nonhomogeneous Markov jump systems with repeated scalar nonlinearities.
Inf. Sci., 2018
2017
Delay-dependent L<sub>2</sub>-L<sub>∞</sub> filtering for fuzzy neutral stochastic time-delay systems.
Signal Process., 2017
Robust stability and \(H_{\infty}\) filter design for neutral stochastic neural networks with parameter uncertainties and time-varying delay.
Int. J. Mach. Learn. Cybern., 2017
State estimation for uncertain discrete-time stochastic neural networks with Markovian jump parameters and time-varying delays.
Int. J. Mach. Learn. Cybern., 2017
Non-fragile l2-l∞ filtering for nonhomogeneous Markov jump systems with randomly occurring uncertainties and gain variations.
J. Frankl. Inst., 2017
Voltage Regulation System of Doubly Salient Electromagnetic Generator Based on Indirect Adaptive Fuzzy Control.
IEEE Access, 2017
L2-L∞ filtering for stochastic Markov jump systems with uncertain transition probabilities.
Proceedings of the XXVI International Conference on Information, 2017
Proceedings of the XXVI International Conference on Information, 2017
2016
H<sub>∞</sub> state estimation of stochastic neural networks with mixed time-varying delays.
Soft Comput., 2016
Non-fragile exponential state estimation for continuous-time fuzzy stochastic neural networks with time-varying delays.
J. Intell. Fuzzy Syst., 2016
Bioinspired Neural Network-based Q-Learning Approach for robot Path Planning in unknown Environments.
Int. J. Robotics Autom., 2016
2015
Robust delay-range-dependent non-fragile <i>H<sub>∞</sub></i> filtering for uncertain neutral stochastic systems with Markovian switching and mode-dependent time delays.
J. Frankl. Inst., 2015
Delay-dependent H∞ filtering for discrete-time fuzzy stochastic systems with mixed delays and sector-bounded nonlinearity.
J. Frankl. Inst., 2015
Stability analysis of stochastic Markovian switching static neural networks with asynchronous mode-dependent delays.
Neurocomputing, 2015
2014
Delay-dependent H ∞ and generalized H 2 filtering for stochastic neural networks with time-varying delay and noise disturbance.
Neural Comput. Appl., 2014
Proceedings of the 11th IEEE International Conference on Control & Automation, 2014
Proceedings of the 11th IEEE International Conference on Control & Automation, 2014
Asymptotical Stability Criteria for Time-Delay Static Neural Networks Subject to Stochastic Perturbations.
Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014
2013
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013
2012
Robust H<sub>∞</sub> Filtering for Uncertain Discrete-Time Fuzzy Stochastic Systems with Sensor Nonlinearities and Time-Varying Delay.
J. Appl. Math., 2012
2011
Robust delay-dependent exponential stability for uncertain stochastic neural networks with mixed delays.
Neurocomputing, 2011
2010
New Results on Robust Exponential Stability of Uncertain Stochastic Neural Networks with Mixed Time-Varying Delays.
Neural Process. Lett., 2010
Robust Delay-dependent Exponential Stability of Uncertain Stochastic System with Time-varying Delay.
Circuits Syst. Signal Process., 2010
Proceedings of the 2010 IEEE International Symposium on Intelligent Control, 2010
Robust Exponential Stability for Uncertain Stochastic Neural Networks with Mixed Time-varying Delays.
Proceedings of the IEEE International Conference on Control Applications, 2010
Proceedings of the IEEE International Conference on Control Applications, 2010