A Comparative Study of Adaptive Control Approaches for MEMS Gyroscope. - Juntao Fei 001; Mingang Hua; Yuncan Xue (CCA, 2010)

Robust Exponential Stability for Uncertain Stochastic Neural Networks with Mixed Time-varying Delays. - Mingang Hua; Juntao Fei 001 (CCA, 2010)

Optimum hot rolling plan with modified discrete particle swarm optimization. - Yuncan Xue; Ning Sun; Juntao Fei 001; Mingang Hua (ISIC, 2010)

Robust Delay-dependent Exponential Stability of Uncertain Stochastic System with Time-varying Delay. - Mingang Hua; Feiqi Deng; Xinzhi Liu; Yunjian Peng (Circuits Syst. Signal Process., 2010)

New Results on Robust Exponential Stability of Uncertain Stochastic Neural Networks with Mixed Time-Varying Delays. - Mingang Hua; Xinzhi Liu; Feiqi Deng; Juntao Fei 001 (Neural Process. Lett., 2010)

Robust delay-dependent exponential stability for uncertain stochastic neural networks with mixed delays. - Feiqi Deng; Mingang Hua; Xinzhi Liu; Yunjian Peng; Juntao Fei 001 (Neurocomputing, 2011)

Robust H∞ Filtering for Uncertain Discrete-Time Fuzzy Stochastic Systems with Sensor Nonlinearities and Time-Varying Delay. - Mingang Hua; Pei Cheng; Juntao Fei 001; Jianyong Zhang; Junfeng Chen (J. Appl. Math., 2012)

Numerical Characteristics of Rotor Angle in Power System with Random Excitations. - Jianyong Zhang; Mingang Hua; Hongwei Wang (BIC-TA, 2013)

Asymptotical Stability Criteria for Time-Delay Static Neural Networks Subject to Stochastic Perturbations. - Huasheng Tan; Mingang Hua (CIS, 2014)

Adaptive fuzzy backstepping control of three-phase active power filter. - Juntao Fei 001; Shixi Hou; Yuncan Xue; Mingang Hua (ICCA, 2014)

H∞ state estimation of stochastic neural networks with time-varying delay. - Mingang Hua; Junfeng Chen; Xisheng Dai (ICCA, 2014)

Delay-dependent H ∞ and generalized H 2 filtering for stochastic neural networks with time-varying delay and noise disturbance. - Mingang Hua; Huasheng Tan; Junfeng Chen (Neural Comput. Appl., 2014)

Stability analysis of stochastic Markovian switching static neural networks with asynchronous mode-dependent delays. - Huasheng Tan; Mingang Hua; Junfeng Chen; Juntao Fei 001 (Neurocomputing, 2015)

Delay-dependent H∞ filtering for discrete-time fuzzy stochastic systems with mixed delays and sector-bounded nonlinearity. - Mingang Hua; Yixi Cai; Jianjun Ni; Juntao Fei 001 (J. Frankl. Inst., 2015)

Robust delay-range-dependent non-fragile H∞ filtering for uncertain neutral stochastic systems with Markovian switching and mode-dependent time delays. - Mingang Hua; Huasheng Tan; Junfeng Chen; Juntao Fei 001 (J. Frankl. Inst., 2015)

Bioinspired Neural Network-based Q-Learning Approach for robot Path Planning in unknown Environments. - Jianjun Ni; Xinyun Li; Mingang Hua; Simon X. Yang (Int. J. Robotics Autom., 2016)

Non-fragile exponential state estimation for continuous-time fuzzy stochastic neural networks with time-varying delays. - Mingang Hua; Yixi Cai; Juntao Fei 001 (J. Intell. Fuzzy Syst., 2016)

H∞ state estimation of stochastic neural networks with mixed time-varying delays. - R. Saravanakumar 001; M. Syed Ali 001; Mingang Hua (Soft Comput., 2016)

A state feedback controller for uncertain networked control systems. - Juntao Fei 001; Xinxin Lv; Mingang Hua (ICAT, 2017)

L2-L∞ filtering for stochastic Markov jump systems with uncertain transition probabilities. - Mingang Hua; Yaling Cheng; Juntao Fei 001 (ICAT, 2017)

Voltage Regulation System of Doubly Salient Electromagnetic Generator Based on Indirect Adaptive Fuzzy Control. - Weili Dai; Yanghua Yu; Mingang Hua; Changchun Cai (IEEE Access, 2017)

Non-fragile l2-l∞ filtering for nonhomogeneous Markov jump systems with randomly occurring uncertainties and gain variations. - Li Zhang; Mingang Hua; Fengqi Yao; Jianjun Ni; Weili Dai; Yaling Cheng (J. Frankl. Inst., 2017)

State estimation for uncertain discrete-time stochastic neural networks with Markovian jump parameters and time-varying delays. - Mingang Hua; Huasheng Tan; Juntao Fei 001 (Int. J. Mach. Learn. Cybern., 2017)

Robust stability and (H_{ infty} ) filter design for neutral stochastic neural networks with parameter uncertainties and time-varying delay. - Mingang Hua; Huasheng Tan; Juntao Fei 001; Jianjun Ni (Int. J. Mach. Learn. Cybern., 2017)

Delay-dependent L2-L∞ filtering for fuzzy neutral stochastic time-delay systems. - Mingang Hua; Fengqi Yao; Pei Cheng; Juntao Fei 001; Jianjun Ni (Signal Process., 2017)

Partially mode-dependent l2-l∞ filtering for discrete-time nonhomogeneous Markov jump systems with repeated scalar nonlinearities. - Mingang Hua; Dandan Zheng; Feiqi Deng (Inf. Sci., 2018)

Robust exponential stability of uncertain impulsive stochastic neural networks with delayed impulses. - Dianqiang Li; Pei Cheng; Mingang Hua; Fengqi Yao (J. Frankl. Inst., 2018)

(H_{ infty } ) filter design for delayed static neural networks with Markovian switching and randomly occurred nonlinearity. - Yaling Cheng; Mingang Hua; Pei Cheng; Fengqi Yao; Juntao Fei 001 (Int. J. Mach. Learn. Cybern., 2018)

Robust H∞ filtering for continuous-time nonhomogeneous Markov jump nonlinear systems with randomly occurring uncertainties. - Mingang Hua; Li Zhang; Fengqi Yao; Jianjun Ni; Weili Dai; Yaling Cheng (Signal Process., 2018)

H∞ filtering problem for Markov jump neutral systems with nonlinear perturbations and uncertain transition probabilities. - Yaling Cheng; Mingang Hua; Juntao Fei 001 (EUROCON, 2019)

Quantized (H_{ infty } ) Filtering for Continuous-Time Nonhomogeneous Markov Jump Systems. - Mingang Hua; Cunkang Bian; Junfeng Chen; Juntao Fei 001 (Circuits Syst. Signal Process., 2020)

Quantized peak-to-peak filtering for continuous-time nonhomogeneous Markov jump systems with structured uncertainty. - Mingang Hua; Cunkang Bian; Feiqi Deng; Juntao Fei 001; Hua Chen 002; Pei Cheng; Fengqi Yao; Yunjian Peng (J. Frankl. Inst., 2020)

H∞ Filtering for Nonhomogeneous Markovian Jump Repeated Scalar Nonlinear Systems With Multiplicative Noises and Partially Mode-Dependent Characterization. - Mingang Hua; Dandan Zheng; Feiqi Deng; Juntao Fei 001; Pei Cheng; Xisheng Dai (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Filtering for Discrete-Time Takagi-Sugeno Fuzzy Nonhomogeneous Markov Jump Systems With Quantization Effects. - Mingang Hua; Yangyang Qian; Feiqi Deng; Juntao Fei 001; Pei Cheng; Hua Chen 002 (IEEE Trans. Cybern., 2022)

Robust exponential stability of discrete-time uncertain impulsive stochastic neural networks with delayed impulses. - Ting Cai 004; Pei Cheng; Fengqi Yao; Mingang Hua (Neural Networks, 2023)

H∞ Filtering for Discrete-Time Periodic Markov Jump Systems With Quantized Measurements: A New Packet Loss Compensation Strategy. - Mingang Hua; Fan Zhang; Feiqi Deng; Juntao Fei 001; Hua Chen 002 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

A novel unbiased H∞ filter design for 2-D Markov jump systems in the Roesser model with general transition probabilities. - Xingyan Hu; Mingang Hua; Feiqi Deng; Hua Chen 002; Juntao Fei 001 (J. Frankl. Inst., 2024)

Quantized fault detection filtering for discrete-time periodic MJSs with repeated scalar nonlinearities via double periodic HMMs. - Jiahui Liu; Mingang Hua; Feiqi Deng; Hua Chen 002; Juntao Fei 001 (J. Frankl. Inst., 2024)

Almost sure exponential stability and stochastic stabilization of discrete-time stochastic systems with impulses. - Ting Cai 004; Pei Cheng; Xin Liu 109; Mingang Hua (J. Comput. Appl. Math., 2025)

Quantized Output Feedback Tracking Control for Discrete-Time Periodic Markov Jump Systems With Packet Loss Compensation. - Fan Zhang; Mingang Hua; Feiqi Deng; Juntao Fei 001; Hua Chen 002 (IEEE Trans Autom. Sci. Eng., 2025)

H∞ Filtering for 2-D Discrete-Time Periodic Markov Jump Systems With Multiplicative Noise: A Periodic HMM Approach. - Mingang Hua; Xingyan Hu; Feiqi Deng; Qiwen Yang; Hua Chen 002 (IEEE Trans. Cybern., 2025)