Cuijuan Zhang
Orcid: 0000-0003-3984-3614
According to our database1,
Cuijuan Zhang
authored at least 14 papers
between 2021 and 2025.
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Bibliography
2025
Data-driven distributed output consensus control for multi-agent systems with unknown internal state.
Neurocomputing, 2025
2024
Leader-Following Synchronization Control of Multiagent Systems Under Hybrid Cyber Attacks via Impulsive Control Based on Topology Switching.
IEEE Trans. Cybern., September, 2024
Data-Based Optimal Consensus Control for Multiagent Systems With Time Delays: Using Prioritized Experience Replay.
IEEE Trans. Syst. Man Cybern. Syst., May, 2024
Distributed economic dispatch algorithm in smart grid based on event-triggered and fixed-time consensus methods.
Neurocomputing, March, 2024
Expert Syst. Appl., March, 2024
Self-Triggered Consensus-Based Strategy for Economic Dispatch in Uncertain Communication Networks.
IEEE Trans. Netw. Sci. Eng., 2024
2023
Optimal antisynchronization control for unknown multiagent systems with deep deterministic policy gradient approach.
Inf. Sci., April, 2023
Fully Distributed Dynamic Event-Triggered Pinning Cluster Consensus Control for Heterogeneous Multiagent Systems With Cooperative-Competitive Interactions.
IEEE Trans. Syst. Man Cybern. Syst., 2023
Initialization-free distributed prescribed-time consensus based algorithm for economic dispatch problem over directed network.
Neurocomputing, 2023
2022
A Route Clustering and Search Heuristic for Large-Scale Multidepot-Capacitated Arc Routing Problem.
IEEE Trans. Cybern., 2022
Optimal couple-group tracking control for the heterogeneous multi-agent systems with cooperative-competitive interactions via reinforcement learning method.
Inf. Sci., 2022
Optimal consensus model-free control for multi-agent systems subject to input delays and switching topologies.
Inf. Sci., 2022
Multi-group consensus for heterogeneous agents in cooperative-competitive networks via pinning and adaptive coupling weight methods.
Int. J. Syst. Sci., 2022
2021
Fully distributed event-triggered pinning group consensus control for heterogeneous multi-agent systems with cooperative-competitive interaction strength.
Neurocomputing, 2021