Mingang Hua

发表

Robust passive control for uncertain discrete-time systems with time-varying delays☆

B. Cui, Mingang Hua, 2006 .

The design of L 2 -L ∞ filter for nonlinear fuzzy stochastic system with time-varying delay

Mingang Hua, Yixi Cai, Huasheng Tan, 2014, CCC 2014.

Adaptive Control of MEMS Gyroscope Based on T-S Fuzzy Model

Mingang Hua, J. Fei, Yunmei Fang, 2015 .

Robust non-fragile stabilisation and H∞ control for uncertain discrete-time stochastic systems with Markovian jump parameters and time-varying delay

Mingang Hua, Huasheng Tan, Jianyong Zhang, 2016 .

Robust H∞ filter design for continuous-time nonhomogeneous Markov jump systems

Mingang Hua, Cunkang Bian, Dandan Zheng, 2017, 2017 36th Chinese Control Conference (CCC).

Filtering for Discrete-Time Stochastic Systems with Nonlinear Sensor and Time-Varying Delay

Pei Cheng, Mingang Hua, J. Fei, 2013 .

Robust partially mode‐dependent H∞ filtering for discrete‐time nonhomogeneous Markovian jump neural networks with additive gain perturbations

Mingang Hua, Weili Dai, Cunkang Bian, 2018, Mathematical Methods in the Applied Sciences.

Robust L2-L∞ filtering for uncertain neutral stochastic system with markovian jumping parameters and time delay

Mingang Hua, Huasheng Tan, H. Tan, 2014, 2014 14th International Conference on Control, Automation and Systems (ICCAS 2014).

Stability Analysis of Impulsive Stochastic Functional Differential Equations with Delayed Impulses via Comparison Principle and Impulsive Delay Differential Inequality

Fengqi Yao, Pei Cheng, Mingang Hua, 2014 .

Exponential Stability Analysis for Neutral Stochastic Delayed Neural Networks

Mingang Hua, J. Fei, Weili Dai, 2011 .

H ∞ Filtering for Discrete-Time Stochastic Systems with Nonlinear Sensor and Time-Varying Delay

Pei Cheng, Mingang Hua, J. Fei, 2014 .

Delay decomposition approach to robust delay-dependent H ∞ filtering of uncertain stochastic systems with time-varying delays

Mingang Hua, J. Fei, Jianyong Zhang, 2014 .

Design of non-fragile robust H∞ filter for fuzzy stochastic systems with time-varying delay

Mingang Hua, Yixi Cai, Huasheng Tan, 2014, 2014 14th International Conference on Control, Automation and Systems (ICCAS 2014).

Quantized H ∞ Filtering for Continuous-Time Nonhomogeneous Markov Jump Systems

Mingang Hua, J. Fei, Cunkang Bian, 2020 .

H 1 ﬁlter design for delayed static neural networks with Markovian switching and randomly occurred nonlinearity

Fengqi Yao, Pei Cheng, Mingang Hua, 2016 .

New Results on Robust Exponential Stability of Uncertain Stochastic Neural Networks with Mixed Time-Varying Delays

Xinzhi Liu, Feiqi Deng, Juntao Fei, 2010, Neural Processing Letters.

Delay-dependent H∞ filtering for discrete-time fuzzy stochastic systems with mixed delays and sector-bounded nonlinearity

Juntao Fei, Mingang Hua, Jianjun Ni, 2015, J. Frankl. Inst..

Robust H∞ Filtering for Uncertain Discrete-Time Fuzzy Stochastic Systems with Sensor Nonlinearities and Time-Varying Delay

Junfeng Chen, Jianyong Zhang, Juntao Fei, 2012, J. Appl. Math..

Robust Delay-dependent Exponential Stability of Uncertain Stochastic System with Time-varying Delay

Xinzhi Liu, Feiqi Deng, Mingang Hua, 2010, Circuits Syst. Signal Process..

H∞ Filtering for Nonhomogeneous Markovian Jump Repeated Scalar Nonlinear Systems With Multiplicative Noises and Partially Mode-Dependent Characterization

Feiqi Deng, Juntao Fei, Mingang Hua, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Partially mode-dependent l2-l∞ filtering for discrete-time nonhomogeneous Markov jump systems with repeated scalar nonlinearities

Feiqi Deng, Mingang Hua, Dandan Zheng, 2018, Inf. Sci..

Robust H∞ filtering for continuous-time nonhomogeneous Markov jump nonlinear systems with randomly occurring uncertainties

Li Zhang, Fengqi Yao, Mingang Hua, 2018, Signal Process..

Robust delay-range-dependent non-fragile H∞ filtering for uncertain neutral stochastic systems with Markovian switching and mode-dependent time delays

Junfeng Chen, Juntao Fei, Mingang Hua, 2015, J. Frankl. Inst..

Robust exponential stability of uncertain impulsive stochastic neural networks with delayed impulses

Fengqi Yao, Pei Cheng, Mingang Hua, 2018, J. Frankl. Inst..

Robust delay-dependent exponential stability for uncertain stochastic neural networks with mixed delays

Xinzhi Liu, Feiqi Deng, Juntao Fei, 2011, Neurocomputing.

Convergence Analysis of a Class of Computational Intelligence Approaches

Jianjun Ni, Junfeng Chen, Mingang Hua, 2013 .

Quantized peak-to-peak filtering for continuous-time nonhomogeneous Markov jump systems with structured uncertainty

Feiqi Deng, Juntao Fei, Fengqi Yao, 2020, J. Frankl. Inst..

Quantized $H_{\infty }$ Filtering for Continuous-Time Nonhomogeneous Markov Jump Systems

Junfeng Chen, Juntao Fei, Mingang Hua, 2020, Circuits Syst. Signal Process..

$$H_{\infty }$$H∞ filter design for delayed static neural networks with Markovian switching and randomly occurred nonlinearity

Fengqi Yao, Juntao Fei, Pei Cheng, 2018, Int. J. Mach. Learn. Cybern..

Non-fragile l2-l∞ filtering for nonhomogeneous Markov jump systems with randomly occurring uncertainties and gain variations

Li Zhang, Fengqi Yao, Mingang Hua, 2017, J. Frankl. Inst..

H∞ filtering for Markovian jump stochastic systems with uncertain transition probabilities

Li Zhang, Mingang Hua, Yaling Cheng, 2016, 2016 35th Chinese Control Conference (CCC).

Stability analysis of stochastic Markovian switching static neural networks with asynchronous mode-dependent delays

Junfeng Chen, Juntao Fei, Mingang Hua, 2015, Neurocomputing.

Filtering for Discrete-Time Takagi–Sugeno Fuzzy Nonhomogeneous Markov Jump Systems With Quantization Effects

F. Deng, Pei Cheng, Mingang Hua, 2020, IEEE Transactions on Cybernetics.

Asymptotical Stability Criteria for Time-Delay Static Neural Networks Subject to Stochastic Perturbations

Mingang Hua, Huasheng Tan, Mingang Hua, 2014, 2014 Tenth International Conference on Computational Intelligence and Security.

Delay-dependent H∞ and generalized H2 filtering for stochastic neural networks with time-varying delay and noise disturbance

Mingang Hua, Huasheng Tan, Junfeng Chen, 2014, Neural Computing and Applications.

A comparative study of adaptive control approaches for MEMS gyroscope

Juntao Fei, Yuncan Xue, Mingang Hua, 2010, 2010 IEEE International Conference on Control Applications.

System Dynamics and Adaptive Control of MEMS Gyroscope Sensor

Mingang Hua, J. Fei, Yuncan Xue, 2011 .

$$H_\infty $$H∞ state estimation of stochastic neural networks with mixed time-varying delays

M. Syed Ali, Mingang Hua, R. Saravanakumar, 2016, Soft Comput..

H ∞ state estimation of stochastic neural networks with mixed time-varying delays

M. Ali, Mingang Hua, R. Saravanakumar, 2015 .

Voltage Regulation System of Doubly Salient Electromagnetic Generator Based on Indirect Adaptive Fuzzy Control

Changchun Cai, Mingang Hua, Weili Dai, 2017, IEEE Access.

Adaptive fuzzy backstepping control of three-phase active power filter

Shixi Hou, Juntao Fei, Yuncan Xue, 2014, 11th IEEE International Conference on Control & Automation (ICCA).

Robust exponential stability of discrete-time uncertain impulsive stochastic neural networks with delayed impulses

Fengqi Yao, Pei Cheng, Mingang Hua, 2023, Neural Networks.

Delay-dependent L2-L∞ filtering for fuzzy neutral stochastic time-delay systems

Fengqi Yao, Juntao Fei, Pei Cheng, 2017, Signal Process..

State estimation for uncertain discrete-time stochastic neural networks with Markovian jump parameters and time-varying delays

Juntao Fei, Mingang Hua, Huasheng Tan, 2017, Int. J. Mach. Learn. Cybern..

Dynamic Output Feedback Quantization Control of a Networked Control System with Dual-Channel Data Packet Loss

Mingang Hua, Fan Zhang, Mengyu Gao, 2023, Mathematics.

Network-Based Robust Filtering for the Uncertain Systems with Sensor Failures and Noise Disturbance

Juntao Fei, Mingang Hua, Pei Cheng, 2012 .

Robust exponential stability for uncertain stochastic neural networks with mixed time-varying delays

Juntao Fei, Mingang Hua, Mingang Hua, 2010, 2010 IEEE International Conference on Control Applications.

Non-fragile exponential state estimation for continuous-time fuzzy stochastic neural networks with time-varying delays

Juntao Fei, Mingang Hua, Yixi Cai, 2016, J. Intell. Fuzzy Syst..

Robust stability and H 1 ﬁlter design for neutral stochastic neural networks with parameter uncertainties and time-varying delay

Juntao Fei, Mingang Hua, Jianjun Ni, 2015 .

H∞ state estimation of stochastic neural networks with time-varying delay

Junfeng Chen, Mingang Hua, Xisheng Dai, 2014, 11th IEEE International Conference on Control & Automation (ICCA).

Bioinspired Neural Network-based Q-Learning Approach for robot Path Planning in unknown Environments

Simon X. Yang, Mingang Hua, Jianjun Ni, 2016, Int. J. Robotics Autom..

The design of L2-L∞ filter for nonlinear fuzzy stochastic system with time-varying delay

Mingang Hua, Cai Yixi, Hua Mingang, 2014, Proceedings of the 33rd Chinese Control Conference.