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Ming Gao 0006
Person information
- affiliation: China University of Petroleum (East China), College of Information and Control Engineering, Qingdao, China
- affiliation (former): Shandong University of Science and Technology, College of Information and Electrical Engineering, Qingdao, China
Other persons with the same name
- Ming Gao — disambiguation page
- Ming Gao 0001
— East China Normal University, School of Data Science and Engineering, Shanghai, China (and 1 more)
- Ming Gao 0002 — National University of Defense Technology, Changsha, China
- Ming Gao 0003 — University of Reading, School of Systems Engineering, UK
- Ming Gao 0005 — FZI Forschungszentrum Informatik, Group of Technisch Kognitive Assistenzsysteme, Germany
- Ming Gao 0007
— Northeastern University, School of Information Science and Engineering, Shenyang, China
- Ming Gao 0008
— Dongbei University of Finance & Economics, Key Laboratory of Big Data Management, Optimization and Decision of Liaoning Province, Dalian, China
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2020 – today
- 2024
- [j41]Yongli Wei, Ming Gao, Li Sheng
:
Prescribed-time fault-tolerant tracking control for Markov jump nonlinear systems based on saturation dynamics filters. Inf. Sci. 673: 120683 (2024) - [j40]Wuxiang Huai
, Ming Gao, Shiyang Liu, Li Sheng:
Fault prognosis for linear stochastic systems with intermittent fault and strong noise via health indicator extraction approach. Qual. Reliab. Eng. Int. 40(5): 2456-2472 (2024) - [j39]Yichun Niu
, Li Sheng
, Ming Gao
, Donghua Zhou:
Optimal Fault Detection for Stochastic Linear Time-Varying Systems by $\chi ^{2}$ Test. IEEE Trans. Autom. Control. 69(4): 2294-2307 (2024) - [j38]Ming Gao
, Wuxiang Huai, Li Sheng
, Donghua Zhou
:
Dynamic Event-Triggered Intermittent Fault Detection for Time-Varying Stochastic Systems. IEEE Trans. Ind. Electron. 71(3): 3074-3082 (2024) - [j37]Yichun Niu
, Li Sheng
, Ming Gao
, Donghua Zhou
:
Moving Horizon Estimation for Stochastic Descriptor Systems With Inaccurate Noise Covariance Matrices. IEEE Trans. Ind. Electron. 71(8): 9530-9540 (2024) - [j36]Li Sheng
, Shiyang Liu
, Ming Gao
, Wuxiang Huai
, Donghua Zhou
:
Moving Horizon Fault Estimation for Nonlinear Stochastic Systems With Unknown Noise Covariance Matrices. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - 2023
- [j35]Sen Zhang
, Li Sheng
, Ming Gao:
Closed-loop intermittent sensor fault detection for linear stochastic time-delay systems with unknown disturbances. Int. J. Control 96(11): 2827-2838 (2023) - [j34]Yuhan Ma
, Ming Gao, Yichun Niu
, Shiyang Liu
, Li Sheng
:
Output feedback tracking control for polynomial nonlinear systems with measurement noises and mismatched disturbances. J. Frankl. Inst. 360(2): 1124-1144 (2023) - [j33]Li Sheng
, Yuechao Wang, Ming Gao
, Yichun Niu
, Donghua Zhou
:
Finite-Time $H_{\infty}$ Filtering for Nonlinear Stochastic Systems With Multiplicative Noises via Carleman Linearization Technique. IEEE Trans. Aerosp. Electron. Syst. 59(2): 1774-1786 (2023) - [j32]Yichun Niu
, Li Sheng
, Ming Gao, Yuechao Wang, Donghua Zhou
:
Variational Bayesian-Based Moving Horizon Estimation of Toolface for Rotary Steerable Drilling Tool Systems. IEEE Trans. Ind. Electron. 70(1): 813-823 (2023) - [j31]Li Sheng
, Yichun Niu
, Ming Gao
, Yanfeng Geng
, Donghua Zhou
:
Particle Filter-Based Fault Detection for Toolface Measurement of Rotary Steerable Systems. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [c4]Yichun Niu, Li Sheng, Ming Gao, Yongli Wei, Donghua Zhou:
Incipient sensor fault detection for time-varying stochastic systems under Kalman filtering framework. SAFEPROCESS 2023: 1-6 - [c3]Jiali Qiang, Ming Gao, Shiyang Liu, Li Sheng:
Event-based H-/H∞ fault detection for T-S fuzzy stochastic systems. SAFEPROCESS 2023: 1-6 - 2022
- [j30]Yichun Niu, Ming Gao, Li Sheng:
Fault-tolerant state estimation for stochastic systems over sensor networks with intermittent sensor faults. Appl. Math. Comput. 416: 126723 (2022) - [j29]Ming Gao, Yichun Niu, Li Sheng
, Donghua Zhou:
Quantitative analysis of incipient fault detectability for time-varying stochastic systems based on weighted moving average approach. Appl. Math. Comput. 434: 127472 (2022) - [j28]Chunyu Li, Li Sheng
, Ming Gao:
Minimal-order observer-based distributed fault detection and isolation for stochastic multi-agent systems. J. Frankl. Inst. 359(10): 5056-5077 (2022) - [j27]Ming Gao
, Yichun Niu
, Li Sheng
:
Distributed Fault-Tolerant State Estimation for a Class of Nonlinear Systems Over Sensor Networks With Sensor Faults and Random Link Failures. IEEE Syst. J. 16(4): 6328-6337 (2022) - [j26]Yichun Niu
, Li Sheng
, Ming Gao, Donghua Zhou
:
Distributed Intermittent Fault Detection for Linear Stochastic Systems Over Sensor Network. IEEE Trans. Cybern. 52(9): 9208-9218 (2022) - [j25]Li Sheng
, Yichun Niu
, Weiliang Wang, Ming Gao, Yanfeng Geng, Donghua Zhou
:
Estimation of Toolface for Dynamic Point-the-bit Rotary Steerable Systems via Nonlinear Polynomial Filtering. IEEE Trans. Ind. Electron. 69(7): 7192-7201 (2022) - [j24]Yichun Niu
, Li Sheng
, Ming Gao
, Donghua Zhou
:
Accelerometer Fault Detection for Rotary Steerable Drilling Tool Systems Under Strong Noises. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j23]Shiyang Liu, Ming Gao, Wuxiang Huai, Li Sheng
:
Federated strong tracking filtering for nonlinear systems with multiple sensors. Trans. Inst. Meas. Control 44(16): 3141-3153 (2022) - 2021
- [j22]Li Sheng, Sen Zhang
, Ming Gao:
Intermittent fault detection for linear discrete-time stochastic multi-agent systems. Appl. Math. Comput. 410: 126480 (2021) - [j21]Sen Zhang
, Li Sheng, Ming Gao:
Intermittent fault detection for delayed stochastic systems over sensor networks. J. Frankl. Inst. 358(13): 6878-6896 (2021) - [j20]Yichun Niu
, Li Sheng
, Ming Gao, Donghua Zhou
:
Dynamic Event-Triggered State Estimation for Continuous-Time Polynomial Nonlinear Systems With External Disturbances. IEEE Trans. Ind. Informatics 17(6): 3962-3970 (2021) - [c2]Sen Zhang, Yichun Niu, Ming Gao, Li Sheng:
Detection of Intermittent Fault for Stochastic Multi-Agent Systems with Time-Delay. CAA SAFEPROCESS 2021: 1-6 - 2020
- [j19]Ming Gao, Zhengmao Zhu, Yichun Niu:
Robust H2/H∞ control for a class of time-varying nonlinear stochastic systems with state- and control-dependent noises. Int. J. Syst. Sci. 51(7): 1218-1228 (2020) - [j18]Ming Gao, Wenhua Zhang, Li Sheng, Donghua Zhou:
Distributed fault estimation for delayed complex networks with Round-Robin protocol based on unknown input observer. J. Frankl. Inst. 357(13): 8678-8702 (2020) - [j17]Donghua Zhou
, Yinghong Zhao
, Zidong Wang
, Xiao He
, Ming Gao:
Review on Diagnosis Techniques for Intermittent Faults in Dynamic Systems. IEEE Trans. Ind. Electron. 67(3): 2337-2347 (2020)
2010 – 2019
- 2019
- [j16]Ming Gao, Sen Yang, Li Sheng
:
Distributed Fault Estimation for Time-Varying Multi-Agent Systems With Sensor Faults and Partially Decoupled Disturbances. IEEE Access 7: 147905-147913 (2019) - [j15]Li Sheng
, Pingping Ma, Ming Gao:
H∞ consensus control with spectrum constraints for stochastic multi-agent systems subject to (x, u, v)-dependent noises. Appl. Math. Comput. 362 (2019) - [j14]Ming Gao, Sen Yang, Li Sheng
, Donghua Zhou:
Fault diagnosis for time-varying systems with multiplicative noises over sensor networks subject to Round-Robin protocol. Neurocomputing 346: 65-72 (2019) - 2017
- [j13]Ming Gao, Li Sheng, Donghua Zhou, Yichun Niu:
Event-based fault detection for T-S fuzzy systems with packet dropouts and (x, v)-dependent noises. Signal Process. 138: 211-219 (2017) - 2016
- [j12]Ming Gao, Li Sheng, Yurong Liu
, Zhengmao Zhu:
Observer-based H∞ fuzzy control for nonlinear stochastic systems with multiplicative noise and successive packet dropouts. Neurocomputing 173: 2001-2008 (2016) - [j11]Ming Gao, Li Sheng, Yurong Liu
:
Robust H∞ control for T-S fuzzy systems subject to missing measurements with uncertain missing probabilities. Neurocomputing 193: 235-241 (2016) - 2015
- [j10]Ming Gao, Li Sheng, Weihai Zhang:
Stochastic H2/H∞ control of nonlinear systems with time-delay and state-dependent noise. Appl. Math. Comput. 266: 429-440 (2015) - [j9]Li Sheng, Ming Gao, Weihai Zhang, Bor-Sen Chen
:
Infinite horizon H∞ control for nonlinear stochastic Markov jump systems with (x, u, v)-dependent noise via fuzzy approach. Fuzzy Sets Syst. 273: 105-123 (2015) - [j8]Li Sheng, Weihai Zhang, Ming Gao:
Some remarks on infinite horizon stochastic H2/H∞ control with (x, u, v)-dependent noise and Markov jumps. J. Frankl. Inst. 352(10): 3929-3946 (2015) - 2014
- [j7]Li Sheng, Ming Gao, Weihai Zhang:
Dissipative control for Markov jump non-linear stochastic systems based on T-S fuzzy model. Int. J. Syst. Sci. 45(5): 1213-1224 (2014) - [j6]Weihai Zhang, Bor-Sen Chen, Huaibin Tang, Li Sheng, Ming Gao:
Some Remarks on General Nonlinear Stochastic H∞ Control With State, Control, and Disturbance-Dependent Noise. IEEE Trans. Autom. Control. 59(1): 237-242 (2014) - [j5]Li Sheng, Weihai Zhang, Ming Gao:
Relationship Between Nash Equilibrium Strategies and H2/H∞ Control of Stochastic Markov Jump Systems With Multiplicative Noise. IEEE Trans. Autom. Control. 59(9): 2592-2597 (2014) - 2013
- [j4]Li Sheng, Ming Gao:
Robust stability of Markovian jump discrete-time neural networks with partly unknown transition probabilities and mixed mode-dependent delays. Int. J. Syst. Sci. 44(2): 252-264 (2013) - 2010
- [j3]Li Sheng, Ming Gao:
Stabilization for Markovian jump nonlinear systems with partly unknown transition probabilities via fuzzy control. Fuzzy Sets Syst. 161(21): 2780-2792 (2010) - [j2]Ming Gao, Li Sheng, Baotong Cui:
Robust stability of uncertain Markovian jump discrete-time recurrent neural networks with time delays. Int. J. Syst. Sci. 41(12): 1525-1536 (2010)
2000 – 2009
- 2009
- [j1]Li Sheng, Ming Gao, Huizhong Yang:
Delay-dependent robust stability for uncertain stochastic fuzzy Hopfield neural networks with time-varying delays. Fuzzy Sets Syst. 160(24): 3503-3517 (2009) - 2007
- [c1]Ming Gao, Baotong Cui
, Li Sheng:
Novel Global Asymptotic Stability Conditions for Hopfield Neural Networks with Time Delays. ISNN (1) 2007: 935-940
Coauthor Index
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last updated on 2024-09-05 23:40 CEST by the dblp team
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