Li Sheng
Orcid: 0000-0003-2940-209XAffiliations:
- China University of Petroleum (East China), College of Information and Control Engineering, Qingdao, China
- Jiangnan University, School of Communication and Control Engineering, Wuxi, China (PhD 2010)
According to our database1,
Li Sheng
authored at least 59 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Optimal Fault Detection for Stochastic Linear Time-Varying Systems by $\chi ^{2}$ Test.
IEEE Trans. Autom. Control., April, 2024
Dynamic Event-Triggered Intermittent Fault Detection for Time-Varying Stochastic Systems.
IEEE Trans. Ind. Electron., March, 2024
Moving Horizon Fault Estimation for Nonlinear Stochastic Systems With Unknown Noise Covariance Matrices.
IEEE Trans. Instrum. Meas., 2024
2023
Closed-loop intermittent sensor fault detection for linear stochastic time-delay systems with unknown disturbances.
Int. J. Control, November, 2023
Finite-Time $H_{\infty}$ Filtering for Nonlinear Stochastic Systems With Multiplicative Noises via Carleman Linearization Technique.
IEEE Trans. Aerosp. Electron. Syst., April, 2023
Particle Filter-Based Fault Detection for Toolface Measurement of Rotary Steerable Systems.
IEEE Trans. Instrum. Meas., 2023
Variational Bayesian-Based Moving Horizon Estimation of Toolface for Rotary Steerable Drilling Tool Systems.
IEEE Trans. Ind. Electron., 2023
Output feedback tracking control for polynomial nonlinear systems with measurement noises and mismatched disturbances.
J. Frankl. Inst., 2023
Proceedings of the CAA Symposium on Fault Detection, 2023
Incipient sensor fault detection for time-varying stochastic systems under Kalman filtering framework.
Proceedings of the CAA Symposium on Fault Detection, 2023
Adaptive Fault-Tolerant Control for Stochastic High-Order Fully Actuated Systems with Local Faults.
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
Trans. Inst. Meas. Control, 2022
Accelerometer Fault Detection for Rotary Steerable Drilling Tool Systems Under Strong Noises.
IEEE Trans. Instrum. Meas., 2022
Estimation of Toolface for Dynamic Point-the-bit Rotary Steerable Systems via Nonlinear Polynomial Filtering.
IEEE Trans. Ind. Electron., 2022
Distributed Intermittent Fault Detection for Linear Stochastic Systems Over Sensor Network.
IEEE Trans. Cybern., 2022
Distributed Fault-Tolerant State Estimation for a Class of Nonlinear Systems Over Sensor Networks With Sensor Faults and Random Link Failures.
IEEE Syst. J., 2022
Minimal-order observer-based distributed fault detection and isolation for stochastic multi-agent systems.
J. Frankl. Inst., 2022
Neurocomputing, 2022
A Feature Weighted Mixed Naive Bayes Model for Monitoring Anomalies in the Fan System of a Thermal Power Plant.
IEEE CAA J. Autom. Sinica, 2022
Fault-tolerant state estimation for stochastic systems over sensor networks with intermittent sensor faults.
Appl. Math. Comput., 2022
Quantitative analysis of incipient fault detectability for time-varying stochastic systems based on weighted moving average approach.
Appl. Math. Comput., 2022
2021
Dynamic Event-Triggered State Estimation for Continuous-Time Polynomial Nonlinear Systems With External Disturbances.
IEEE Trans. Ind. Informatics, 2021
J. Frankl. Inst., 2021
Intermittent fault detection for linear discrete-time stochastic multi-agent systems.
Appl. Math. Comput., 2021
Proceedings of the CAA Symposium on Fault Detection, 2021
Cubature Kalman Filtering for Dynamic Pointing Rotary Steerable System Based on Dynamic Event-Triggering Mechanism.
Proceedings of the CAA Symposium on Fault Detection, 2021
2020
Distributed fault estimation for delayed complex networks with Round-Robin protocol based on unknown input observer.
J. Frankl. Inst., 2020
2019
Reliable Data Fusion of Hierarchical Wireless Sensor Networks With Asynchronous Measurement for Greenhouse Monitoring.
IEEE Trans. Control. Syst. Technol., 2019
Fault diagnosis for time-varying systems with multiplicative noises over sensor networks subject to Round-Robin protocol.
Neurocomputing, 2019
<i>H</i><sub>∞</sub> consensus control with spectrum constraints for stochastic multi-agent systems subject to (<i>x, u, v</i>)-dependent noises.
Appl. Math. Comput., 2019
Distributed Fault Estimation for Time-Varying Multi-Agent Systems With Sensor Faults and Partially Decoupled Disturbances.
IEEE Access, 2019
Sensor Fault Detection and Isolation in Toolface Control of Rotary Steerable Drilling System.
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
Finite-horizon state estimation for time-varying complex networks with random coupling strengths under Round-Robin protocol.
J. Frankl. Inst., 2018
Event-based <i>H</i><sub>∞</sub> fault estimation for networked time-varying systems with randomly occurring nonlinearities and (<i>x, v</i>)-dependent noises.
Neurocomputing, 2018
2017
Output-Feedback Control for Nonlinear Stochastic Systems With Successive Packet Dropouts and Uniform Quantization Effects.
IEEE Trans. Syst. Man Cybern. Syst., 2017
Event-Based H<sub>∞</sub> State Estimation for Time-Varying Stochastic Dynamical Networks With State- and Disturbance-Dependent Noises.
IEEE Trans. Neural Networks Learn. Syst., 2017
Event-based fault detection for T-S fuzzy systems with packet dropouts and (x, v)-dependent noises.
Signal Process., 2017
Output-feedback H<sub>2</sub> / H<sub>∞</sub> consensus control for stochastic time-varying multi-agent systems with (x, u, v)-dependent noises.
Syst. Control. Lett., 2017
Generalized predictive control of a class of MIMO models via a projection neural network.
Neurocomputing, 2017
2016
Delay-distribution-dependent H<sub>∞</sub> state estimation for delayed neural networks with (x, v)-dependent noises and fading channels.
Neural Networks, 2016
Delay-dependent H<sub>∞</sub> synchronization for chaotic neural networks with network-induced delays and packet dropouts.
Neurocomputing, 2016
Observer-based H<sub>∞</sub> fuzzy control for nonlinear stochastic systems with multiplicative noise and successive packet dropouts.
Neurocomputing, 2016
Robust H<sub>∞</sub> control for T-S fuzzy systems subject to missing measurements with uncertain missing probabilities.
Neurocomputing, 2016
2015
Some remarks on infinite horizon stochastic H2/H∞ control with (x, u, v)-dependent noise and Markov jumps.
J. Frankl. Inst., 2015
Infinite horizon <sub>H</sub><sub>∞</sub> control for nonlinear stochastic Markov jump systems with (x, u, v)-dependent noise via fuzzy approach.
Fuzzy Sets Syst., 2015
Autom., 2015
Stochastic H<sub>2</sub>/H<sub>∞</sub> control of nonlinear systems with time-delay and state-dependent noise.
Appl. Math. Comput., 2015
2014
Some Remarks on General Nonlinear Stochastic H<sub>∞</sub> Control With State, Control, and Disturbance-Dependent Noise.
IEEE Trans. Autom. Control., 2014
Relationship Between Nash Equilibrium Strategies and H<sub>2</sub>/H<sub>∞</sub> Control of Stochastic Markov Jump Systems With Multiplicative Noise.
IEEE Trans. Autom. Control., 2014
Dissipative control for Markov jump non-linear stochastic systems based on T-S fuzzy model.
Int. J. Syst. Sci., 2014
2013
Robust stability of Markovian jump discrete-time neural networks with partly unknown transition probabilities and mixed mode-dependent delays.
Int. J. Syst. Sci., 2013
2010
Robust stability of uncertain Markovian jump discrete-time recurrent neural networks with time delays.
Int. J. Syst. Sci., 2010
Stabilization for Markovian jump nonlinear systems with partly unknown transition probabilities via fuzzy control.
Fuzzy Sets Syst., 2010
Proceedings of the American Control Conference, 2010
2009
Neurocomputing, 2009
Delay-dependent robust stability for uncertain stochastic fuzzy Hopfield neural networks with time-varying delays.
Fuzzy Sets Syst., 2009
Delay-dependent exponential stability analysis of fuzzy delayed Hopfield neural networks: A fuzzy Lyapunov-Krasovskii functional approach.
Proceedings of the American Control Conference, 2009
2008
Exponential synchronization of a class of neural networks with mixed time-varying delays and impulsive effects.
Neurocomputing, 2008
2007
Novel Global Asymptotic Stability Conditions for Hopfield Neural Networks with Time Delays.
Proceedings of the Advances in Neural Networks, 2007