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ORCIDLi Sheng 0002
Person information
- affiliation: China University of Petroleum (East China), College of Information and Control Engineering, Qingdao, China
- affiliation (PhD 2010): Jiangnan University, School of Communication and Control Engineering, Wuxi, China
Other persons with the same name
- Li Sheng — disambiguation page
- Li Sheng 0001 — Drexel University, Philadelphia, Department of Mathematics
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Journal Articles
- 2024
[j52]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)- [j51]Xueqing Liu, Maoyin Chen, Donghua Zhou, Li Sheng:
Fault-Tolerant Control of Stochastic High-Order Fully Actuated Systems. IEEE Trans. Cybern. 54(5): 3225-3238 (2024) - [j50]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) - [j49]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) - [j48]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
- [j47]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) - [j46]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) - [j45]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) - [j44]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) - [j43]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) - 2022
- [j42]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) - [j41]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) - [j40]Min Wang, Li Sheng, Donghua Zhou, Maoyin Chen:
A Feature Weighted Mixed Naive Bayes Model for Monitoring Anomalies in the Fan System of a Thermal Power Plant. IEEE CAA J. Autom. Sinica 9(4): 719-727 (2022) - [j39]Xueqing Liu, Maoyin Chen, Li Sheng, Donghua Zhou:
Adaptive fault-tolerant control for nonlinear high-order fully-actuated systems. Neurocomputing 495: 75-85 (2022) - [j38]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) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]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
- [j32]Li Sheng, Sen Zhang, Ming Gao:
Intermittent fault detection for linear discrete-time stochastic multi-agent systems. Appl. Math. Comput. 410: 126480 (2021) - [j31]Sen Zhang, Li Sheng, Ming Gao:
Intermittent fault detection for delayed stochastic systems over sensor networks. J. Frankl. Inst. 358(13): 6878-6896 (2021) - [j30]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) - 2020
- [j29]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) - 2019
- [j28]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) - [j27]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) - [j26]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) - [j25]Xingzhen Bai, Zidong Wang, Li Sheng, Zhen Wang:
Reliable Data Fusion of Hierarchical Wireless Sensor Networks With Asynchronous Measurement for Greenhouse Monitoring. IEEE Trans. Control. Syst. Technol. 27(3): 1036-1046 (2019) - 2018
- [j24]Daikun Chao, Li Sheng, Yang Liu, Yurong Liu, Fuad E. Alsaadi:
Event-based H∞ fault estimation for networked time-varying systems with randomly occurring nonlinearities and (x, v)-dependent noises. Neurocomputing 285: 220-229 (2018) - [j23]Li Sheng, Yichun Niu, Lei Zou, Yurong Liu, Fuad E. Alsaadi:
Finite-horizon state estimation for time-varying complex networks with random coupling strengths under Round-Robin protocol. J. Frankl. Inst. 355(15): 7417-7442 (2018) - 2017
- [j22]Qian Ye, Xuyang Lou, Li Sheng:
Generalized predictive control of a class of MIMO models via a projection neural network. Neurocomputing 234: 192-197 (2017) - [j21]Li Sheng, Zidong Wang, Lei Zou:
Output-feedback H2 / H∞ consensus control for stochastic time-varying multi-agent systems with (x, u, v)-dependent noises. Syst. Control. Lett. 107: 58-67 (2017) - [j20]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) - [j19]Li Sheng, Zidong Wang, Lei Zou, Fuad E. Alsaadi:
Event-Based H∞ State Estimation for Time-Varying Stochastic Dynamical Networks With State- and Disturbance-Dependent Noises. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2382-2394 (2017) - [j18]Li Sheng, Zidong Wang, Weibo Wang, Fuad E. Alsaadi:
Output-Feedback Control for Nonlinear Stochastic Systems With Successive Packet Dropouts and Uniform Quantization Effects. IEEE Trans. Syst. Man Cybern. Syst. 47(7): 1181-1191 (2017) - 2016
- [j17]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) - [j16]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) - [j15]Yichun Niu, Li Sheng, Weibo Wang:
Delay-dependent H∞ synchronization for chaotic neural networks with network-induced delays and packet dropouts. Neurocomputing 214: 7-15 (2016) - [j14]Li Sheng, Zidong Wang, Engang Tian, Fuad E. Alsaadi:
Delay-distribution-dependent H∞ state estimation for delayed neural networks with (x, v)-dependent noises and fading channels. Neural Networks 84: 102-112 (2016) - 2015
- [j13]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) - [j12]Weihai Zhang, Yong Zhao, Li Sheng:
Some remarks on stability of stochastic singular systems with state-dependent noise. Autom. 51: 273-277 (2015) - [j11]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) - [j10]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
- [j9]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) - [j8]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) - [j7]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
- [j6]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
- [j5]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) - [j4]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) - 2009
- [j3]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) - [j2]Huizhong Yang, Li Sheng:
Robust stability of uncertain stochastic fuzzy cellular neural networks. Neurocomputing 73(1-3): 133-138 (2009) - 2008
- [j1]Li Sheng, Huizhong Yang:
Exponential synchronization of a class of neural networks with mixed time-varying delays and impulsive effects. Neurocomputing 71(16-18): 3666-3674 (2008)
Conference and Workshop Papers
- 2023
- [c9]Xueqing Liu, Maoyin Chen, Li Sheng, Donghua Zhou:
Adaptive Fault-Tolerant Control for Stochastic High-Order Fully Actuated Systems with Local Faults. SAFEPROCESS 2023: 1-7 - [c8]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 - [c7]Jiali Qiang, Ming Gao, Shiyang Liu, Li Sheng:
Event-based H-/H∞ fault detection for T-S fuzzy stochastic systems. SAFEPROCESS 2023: 1-6 - 2021
- [c6]Jinyi Tian, Li Sheng:
Cubature Kalman Filtering for Dynamic Pointing Rotary Steerable System Based on Dynamic Event-Triggering Mechanism. CAA SAFEPROCESS 2021: 1-6 - [c5]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 - 2019
- [c4]Yichun Niu, Li Sheng, Weiliang Wang, Yanfeng Geng, Donghua Zhou:
Sensor Fault Detection and Isolation in Toolface Control of Rotary Steerable Drilling System. CAA SAFEPROCESS 2019: 98-103 - 2010
- [c3]Li Sheng, Eyad H. Abed, Munther A. Hassouneh, Huizhong Yang, Mohamed S. Saad:
Mode in output participation factors for linear systems. ACC 2010: 956-961 - 2009
- [c2]Li Sheng, Huizhong Yang:
Delay-dependent exponential stability analysis of fuzzy delayed Hopfield neural networks: A fuzzy Lyapunov-Krasovskii functional approach. ACC 2009: 4296-4301 - 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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