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Mingang Hua
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2020 – today
- 2025
- [j29]Ting Cai
, Pei Cheng, Xing Liu, Mingang Hua:
Almost sure exponential stability and stochastic stabilization of discrete-time stochastic systems with impulses. J. Comput. Appl. Math. 453: 116152 (2025) - 2024
- [j28]Xingyan Hu
, Mingang Hua
, Feiqi Deng, Hua Chen, Juntao Fei
:
A novel unbiased H∞ filter design for 2-D Markov jump systems in the Roesser model with general transition probabilities. J. Frankl. Inst. 361(2): 670-682 (2024) - [j27]Jiahui Liu
, Mingang Hua
, Feiqi Deng, Hua Chen, Juntao Fei
:
Quantized fault detection filtering for discrete-time periodic MJSs with repeated scalar nonlinearities via double periodic HMMs. J. Frankl. Inst. 361(4): 106619 (2024) - 2023
- [j26]Ting Cai
, Pei Cheng
, Fengqi Yao, Mingang Hua:
Robust exponential stability of discrete-time uncertain impulsive stochastic neural networks with delayed impulses. Neural Networks 160: 227-237 (2023) - [j25]Mingang Hua
, Fan Zhang
, Feiqi Deng
, Juntao Fei
, Hua Chen:
H∞ Filtering for Discrete-Time Periodic Markov Jump Systems With Quantized Measurements: A New Packet Loss Compensation Strategy. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 6766-6777 (2023) - 2022
- [j24]Mingang Hua
, Yangyang Qian, Feiqi Deng
, Juntao Fei
, Pei Cheng, Hua Chen:
Filtering for Discrete-Time Takagi-Sugeno Fuzzy Nonhomogeneous Markov Jump Systems With Quantization Effects. IEEE Trans. Cybern. 52(2): 982-995 (2022) - 2021
- [j23]Mingang Hua
, Dandan Zheng, Feiqi Deng
, Juntao Fei
, Pei Cheng, Xisheng Dai
:
H∞ Filtering for Nonhomogeneous Markovian Jump Repeated Scalar Nonlinear Systems With Multiplicative Noises and Partially Mode-Dependent Characterization. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 3180-3192 (2021) - 2020
- [j22]Mingang Hua
, Cunkang Bian, Junfeng Chen, Juntao Fei:
Quantized \(H_{\infty }\) Filtering for Continuous-Time Nonhomogeneous Markov Jump Systems. Circuits Syst. Signal Process. 39(8): 3833-3857 (2020) - [j21]Mingang Hua
, Cunkang Bian, Feiqi Deng, Juntao Fei, Hua Chen, Pei Cheng, Fengqi Yao, Yunjian Peng:
Quantized peak-to-peak filtering for continuous-time nonhomogeneous Markov jump systems with structured uncertainty. J. Frankl. Inst. 357(17): 13158-13188 (2020)
2010 – 2019
- 2019
- [c10]Yaling Cheng, Mingang Hua, Juntao Fei:
H∞ filtering problem for Markov jump neutral systems with nonlinear perturbations and uncertain transition probabilities. EUROCON 2019: 1-6 - 2018
- [j20]Mingang Hua
, Dandan Zheng, Feiqi Deng
:
Partially mode-dependent l2-l∞ filtering for discrete-time nonhomogeneous Markov jump systems with repeated scalar nonlinearities. Inf. Sci. 451-452: 223-239 (2018) - [j19]Dianqiang Li, Pei Cheng
, Mingang Hua
, Fengqi Yao:
Robust exponential stability of uncertain impulsive stochastic neural networks with delayed impulses. J. Frankl. Inst. 355(17): 8597-8618 (2018) - [j18]Yaling Cheng, Mingang Hua, Pei Cheng, Fengqi Yao, Juntao Fei:
\(H_{\infty }\) filter design for delayed static neural networks with Markovian switching and randomly occurred nonlinearity. Int. J. Mach. Learn. Cybern. 9(6): 903-915 (2018) - [j17]Mingang Hua
, Li Zhang, Fengqi Yao, Jianjun Ni, Weili Dai, Yaling Cheng:
Robust H∞ filtering for continuous-time nonhomogeneous Markov jump nonlinear systems with randomly occurring uncertainties. Signal Process. 148: 250-259 (2018) - 2017
- [j16]Weili Dai
, Yanghua Yu, Mingang Hua, Changchun Cai:
Voltage Regulation System of Doubly Salient Electromagnetic Generator Based on Indirect Adaptive Fuzzy Control. IEEE Access 5: 14187-14194 (2017) - [j15]Li Zhang, Mingang Hua
, Fengqi Yao, Jianjun Ni, Weili Dai, Yaling Cheng:
Non-fragile l2-l∞ filtering for nonhomogeneous Markov jump systems with randomly occurring uncertainties and gain variations. J. Frankl. Inst. 354(16): 7521-7542 (2017) - [j14]Mingang Hua, Huasheng Tan, Juntao Fei, Jianjun Ni:
Robust stability and \(H_{\infty}\) filter design for neutral stochastic neural networks with parameter uncertainties and time-varying delay. Int. J. Mach. Learn. Cybern. 8(2): 511-524 (2017) - [j13]Mingang Hua, Huasheng Tan, Juntao Fei:
State estimation for uncertain discrete-time stochastic neural networks with Markovian jump parameters and time-varying delays. Int. J. Mach. Learn. Cybern. 8(3): 823-835 (2017) - [j12]Mingang Hua
, Fengqi Yao, Pei Cheng, Juntao Fei, Jianjun Ni:
Delay-dependent L2-L∞ filtering for fuzzy neutral stochastic time-delay systems. Signal Process. 137: 98-108 (2017) - [c9]Juntao Fei, Xinxin Lv, Mingang Hua:
A state feedback controller for uncertain networked control systems. ICAT 2017: 1-6 - [c8]Mingang Hua, Yaling Cheng, Juntao Fei:
L2-L∞ filtering for stochastic Markov jump systems with uncertain transition probabilities. ICAT 2017: 1-6 - 2016
- [j11]Jianjun Ni, Xinyun Li, Mingang Hua, Simon X. Yang
:
Bioinspired Neural Network-based Q-Learning Approach for robot Path Planning in unknown Environments. Int. J. Robotics Autom. 31(6) (2016) - [j10]Mingang Hua, Yixi Cai, Juntao Fei:
Non-fragile exponential state estimation for continuous-time fuzzy stochastic neural networks with time-varying delays. J. Intell. Fuzzy Syst. 30(5): 2915-2926 (2016) - [j9]R. Saravanakumar
, M. Syed Ali
, Mingang Hua:
H∞ state estimation of stochastic neural networks with mixed time-varying delays. Soft Comput. 20(9): 3475-3487 (2016) - 2015
- [j8]Huasheng Tan, Mingang Hua
, Junfeng Chen, Juntao Fei:
Stability analysis of stochastic Markovian switching static neural networks with asynchronous mode-dependent delays. Neurocomputing 151: 864-872 (2015) - [j7]Mingang Hua
, Huasheng Tan, Junfeng Chen
, Juntao Fei:
Robust delay-range-dependent non-fragile H∞ filtering for uncertain neutral stochastic systems with Markovian switching and mode-dependent time delays. J. Frankl. Inst. 352(3): 1318-1341 (2015) - [j6]Mingang Hua
, Yixi Cai, Jianjun Ni, Juntao Fei:
Delay-dependent H∞ filtering for discrete-time fuzzy stochastic systems with mixed delays and sector-bounded nonlinearity. J. Frankl. Inst. 352(8): 3069-3097 (2015) - 2014
- [j5]Mingang Hua, Huasheng Tan, Junfeng Chen:
Delay-dependent H ∞ and generalized H 2 filtering for stochastic neural networks with time-varying delay and noise disturbance. Neural Comput. Appl. 25(3-4): 613-624 (2014) - [c7]Huasheng Tan, Mingang Hua:
Asymptotical Stability Criteria for Time-Delay Static Neural Networks Subject to Stochastic Perturbations. CIS 2014: 94-98 - [c6]Mingang Hua, Junfeng Chen, Xisheng Dai
:
H∞ state estimation of stochastic neural networks with time-varying delay. ICCA 2014: 455-460 - [c5]Juntao Fei, Shixi Hou, Yuncan Xue, Mingang Hua:
Adaptive fuzzy backstepping control of three-phase active power filter. ICCA 2014: 1001-1006 - 2013
- [c4]Jianyong Zhang, Mingang Hua, Hongwei Wang:
Numerical Characteristics of Rotor Angle in Power System with Random Excitations. BIC-TA 2013: 477-484 - 2012
- [j4]Mingang Hua
, Pei Cheng, Juntao Fei, Jianyong Zhang, Junfeng Chen:
Robust H∞ Filtering for Uncertain Discrete-Time Fuzzy Stochastic Systems with Sensor Nonlinearities and Time-Varying Delay. J. Appl. Math. 2012: 402480:1-402480:25 (2012) - 2011
- [j3]Feiqi Deng
, Mingang Hua, Xinzhi Liu, Yunjian Peng, Juntao Fei:
Robust delay-dependent exponential stability for uncertain stochastic neural networks with mixed delays. Neurocomputing 74(10): 1503-1509 (2011) - 2010
- [j2]Mingang Hua, Feiqi Deng
, Xinzhi Liu, Yunjian Peng:
Robust Delay-dependent Exponential Stability of Uncertain Stochastic System with Time-varying Delay. Circuits Syst. Signal Process. 29(3): 515-526 (2010) - [j1]Mingang Hua, Xinzhi Liu, Feiqi Deng, Juntao Fei:
New Results on Robust Exponential Stability of Uncertain Stochastic Neural Networks with Mixed Time-Varying Delays. Neural Process. Lett. 32(3): 219-233 (2010) - [c3]Mingang Hua, Juntao Fei:
Robust Exponential Stability for Uncertain Stochastic Neural Networks with Mixed Time-varying Delays. CCA 2010: 1188-1192 - [c2]Juntao Fei, Mingang Hua, Yuncan Xue:
A Comparative Study of Adaptive Control Approaches for MEMS Gyroscope. CCA 2010: 1856-1861 - [c1]Yuncan Xue, Ning Sun, Juntao Fei, Mingang Hua:
Optimum hot rolling plan with modified discrete particle swarm optimization. ISIC 2010: 2320-2325
Coauthor Index
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