Meng Zhang
Orcid: 0000-0002-6498-6951Affiliations:
- Zhejiang University, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Hangzhou, China
According to our database1,
Meng Zhang
authored at least 32 papers
between 2015 and 2025.
Collaborative distances:
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Bibliography
2025
Detection of False Data Injection Attacks in Smart Grids: An Optimal Transport-Based Reliable Self-Training Approach.
IEEE Trans. Inf. Forensics Secur., 2025
2024
IEEE Trans. Fuzzy Syst., August, 2024
Model-Free Load Frequency Control of Nonlinear Power Systems Based on Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics, April, 2024
LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection.
IEEE Trans. Dependable Secur. Comput., 2024
2023
Reliable Event-Triggered Load Frequency Control of Uncertain Multiarea Power Systems With Actuator Failures.
IEEE Trans Autom. Sci. Eng., October, 2023
Distributed Observer-Based Event-Triggered Load Frequency Control of Multiarea Power Systems Under Cyber Attacks.
IEEE Trans Autom. Sci. Eng., October, 2023
IEEE Trans. Smart Grid, May, 2023
IEEE Trans. Ind. Informatics, March, 2023
2022
A Secure Intra-Regional-Inter-Regional Peer-to-Peer Electricity Trading System for Electric Vehicles.
IEEE Trans. Veh. Technol., 2022
Attack-Resilient Optimal PMU Placement via Reinforcement Learning Guided Tree Search in Smart Grids.
IEEE Trans. Inf. Forensics Secur., 2022
IEEE Trans. Fuzzy Syst., 2022
Fault Diagnosis of Microgrids Using Branch Convolution Neural Network and Majority Voting.
Proceedings of the IEEE International Conference on Communications, 2022
2021
IEEE Internet Things J., 2021
An XGBoost-Based Vulnerability Analysis of Smart Grid Cascading Failures under Topology Attacks.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Reinforcement Learning based Multistage Optimal PMU Placement Against Data Integrity Attacks in Smart Grid.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021
2020
IEEE Trans. Fuzzy Syst., 2020
IEEE Trans. Cybern., 2020
Asynchronous Observer-Based Control for Exponential Stabilization of Markov Jump Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2020
Deep Reinforcement Learning for Smart Grid Protection Against Coordinated Multistage Transmission Line Attacks.
CoRR, 2020
CoRR, 2020
Deep Reinforcement Learning and Blockchain for Peer-to-Peer Energy Trading among Microgrids.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020
Adaptive Control for a Class of Uncertain Nonlinear Systems Subject to Saturated Input Quantization.
Proceedings of the 16th International Conference on Control, 2020
2019
Network-based fuzzy control for nonlinear Markov jump systems subject to quantization and dropout compensation.
Fuzzy Sets Syst., 2019
2018
IEEE Trans. Autom. Control., 2018
H<sub>∞</sub> filtering for discrete-time switched fuzzy systems with randomly occurring time-varying delay and packet dropouts.
Signal Process., 2018
2017
PI simultaneous stabilization and set-point output regulation of Port-Hamiltonian systems.
J. Frankl. Inst., 2017
Fuzzy model-based asynchronous <i>H</i><sub>∞</sub> filter design of discrete-time Markov jump systems.
J. Frankl. Inst., 2017
IEEE Access, 2017
2016
Towards a constructive interconnection and damping assignment stabilization methodology.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Further deleterious effects of the dissipation obstacle in control-by-interconnection of port-Hamiltonian systems.
Autom., 2015