Qi Li
Affiliations:- Hangzhou Normal University, Institute of Service Engineering, China
- Donghua University, Glorious Sun School of Business and Management, Shanghai, China (PhD)
According to our database1,
Qi Li
authored at least 36 papers
between 2015 and 2024.
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Bibliography
2024
Zonotopic set-membership estimation for time-varying systems subject to dynamical biases and quantization effects.
Inf. Sci., January, 2024
2023
Protocol-based zonotopic state and fault estimation for communication-constrained industrial cyber-physical systems.
Inf. Sci., July, 2023
An evolutionary algorithm with clustering-based selection strategies for multi-objective optimization.
Inf. Sci., May, 2023
A Multi-Objective Evolutionary Algorithm With Hierarchical Clustering-Based Selection.
IEEE Access, 2023
2022
Soft Comput., December, 2022
Simultaneous State and Unknown Input Estimation for Complex Networks With Redundant Channels Under Dynamic Event-Triggered Mechanisms.
IEEE Trans. Neural Networks Learn. Syst., 2022
A Differential Evolution Algorithm With Adaptive Niching and K-Means Operation for Data Clustering.
IEEE Trans. Cybern., 2022
Fusion estimation for stochastic uncertain systems with time-correlated rician fading channels.
J. Frankl. Inst., 2022
Adaptive memetic differential evolution with multi-niche sampling and neighborhood crossover strategies for global optimization.
Inf. Sci., 2022
Recursive filtering for complex networks with time-correlated fading channels: An outlier-resistant approach.
Inf. Sci., 2022
Recursive Filtering for Nonlinear Systems With Self-Interferences Over Full-Duplex Relay Networks.
IEEE CAA J. Autom. Sinica, 2022
2021
A Resilient Approach to Recursive Distributed Filtering for Multirate Systems Over Sensor Networks With Time-Correlated Fading Channels.
IEEE Trans. Signal Inf. Process. over Networks, 2021
Inf. Sci., 2021
Adaptive memetic differential evolution with niching competition and supporting archive strategies for multimodal optimization.
Inf. Sci., 2021
An adaptive and opposite <i>K</i>-means operation based memetic algorithm for data clustering.
Neurocomputing, 2021
Event-triggered H∞ state estimation for discrete-time delayed switched stochastic neural networks with persistent dwell-time switching regularities and sensor saturations.
Neurocomputing, 2021
Dynamic event-triggered H∞ state estimation for delayed complex networks with randomly occurring nonlinearities.
Neurocomputing, 2021
Distributed state and fault estimation over sensor networks with probabilistic quantizations: The dynamic event-triggered case.
Autom., 2021
IEEE Access, 2021
2020
State-Saturated Recursive Filter Design for Stochastic Time-Varying Nonlinear Complex Networks Under Deception Attacks.
IEEE Trans. Neural Networks Learn. Syst., 2020
A Dynamic Event-Triggered Approach to Recursive Filtering for Complex Networks With Switching Topologies Subject to Random Sensor Failures.
IEEE Trans. Neural Networks Learn. Syst., 2020
Non-fragile <i>H</i><sub>∞</sub> control for body slip angle of electric vehicles with onboard vision systems: The dynamic event-triggering approach.
J. Frankl. Inst., 2020
Dynamic event-triggered mechanism for <i>H</i><sub>∞</sub> non-fragile state estimation of complex networks under randomly occurring sensor saturations.
Inf. Sci., 2020
Neurocomputing, 2020
Recursive distributed filtering over sensor networks on Gilbert-Elliott channels: A dynamic event-triggered approach.
Autom., 2020
2019
Synchronization Control for A Class of Discrete Time-Delay Complex Dynamical Networks: A Dynamic Event-Triggered Approach.
IEEE Trans. Cybern., 2019
Integration of residual network and convolutional neural network along with various activation functions and global pooling for time series classification.
Neurocomputing, 2019
State estimation for neural networks with Markov-based nonuniform sampling: The partly unknown transition probability case.
Neurocomputing, 2019
2018
An event-triggered approach to distributed <i>H</i><sub>∞</sub> state estimation for state-saturated systems with randomly occurring mixed delays.
J. Frankl. Inst., 2018
Event-triggered <i>H</i><sub>∞</sub> state estimation for state-saturated complex networks subject to quantization effects and distributed delays.
J. Frankl. Inst., 2018
2017
Event-triggered H ∞ state estimation for discrete-time neural networks with mixed time delays and sensor saturations.
Neural Comput. Appl., 2017
A sampled-data approach to distributed <i>H</i><sub>∞</sub> resilient state estimation for a class of nonlinear time-delay systems over sensor networks.
J. Frankl. Inst., 2017
Distributed sampled-data state estimation for sensor networks with nonuniform samplings.
Proceedings of the 23rd International Conference on Automation and Computing, 2017
2016
Event-triggered H ∞ state estimation for discrete-time stochastic genetic regulatory networks with Markovian jumping parameters and time-varying delays.
Neurocomputing, 2016
2015
Event-triggered synchronization control for complex networks with uncertain inner coupling.
Int. J. Gen. Syst., 2015
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015