Cooperative Flight Control of Multi-UAV Systems under a Data-Driven Paradigm

Authors

  • Kexin Li

DOI:

https://doi.org/10.54691/6x6b4583

Keywords:

Multi-UAV System; Model-free Adaptation; Data Packet Loss; Pseudo-partial Derivative.

Abstract

Aiming at the challenge of highly cooperative control of multi-UAV formation under nonlinear dynamics, communication restriction and malicious attacks, a data-driven Compact Format Dynamic Linearization based Model-Free Adaptive Control (CFDL-MFAC) method is adopted to transform the nonlinear system into a compact format dynamic linear model based on pseudo-partial derivatives, and a distributed control law and pseudo-partial derivative estimation algorithm are designed. Meanwhile, a reset mechanism is introduced to deal with data packet loss. Theoretical analysis verifies the tracking error convergence and the stability of bounded input and bounded output of the system under constant and time-varying trajectories. Simulation experiments indicate that the proposed method can effectively realize multi-UAV highly cooperative tracking with strong anti-jamming and robustness.

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References

[1] W. Tan, Y. Li and Z. Hou, "Data-driven security control for vehicular platooning systems with finite-time prescribed performance," IEEE Trans. Intell. Transp. Syst., vol. 25, no. 9, pp. 12385-12394, Sept. 2024.

[2] J. Liang, X. Bu and Z. Hou, "Finite-time asymmetric bipartite consensus for multi-agent systems using data-driven Iterative learning control,"IEEE Trans. Signal Inf. Process. Over Netw., vol. 10, pp. 227-238, 2024.

[3] J. Chen, C. Hua and X. Guan, "Iterative learning model-free control for networked systems with dual-direction data dropouts and actuator faults," IEEE Trans. Neural Netw. Learn. Syst., vol. 32, no. 11, pp. 5232-5240, Nov. 2021.

[4] Z. Hou and S. Jin, "A novel data-driven control approach for a class of discrete-time nonlinear systems,"IEEE Trans. Control Syst. Technol., vol. 19, no. 6, pp. 1549-1558, Nov. 2011.

[5] R. Chi, H. Zhang, H. Li, B. Huang and Z. Hou, "Data-driven dynamic internal model control," IEEE Trans. Cybern., vol. 54, no. 9, pp. 5347-5359, Sept. 2024.

[6] Y. Huang, G. -P. Liu, Y. Yu and W. Hu, "Data-driven distributed predictive tracking control for heterogeneous nonlinear multiagent systems with communication delays,"IEEE Trans. Autom. Control,vol. 69, no. 7, pp. 4786-4792, July 2024.

[7] Z. Li, Y. Shi, S. Xu, H. Xu and L. Dong, "Distributed model predictive consensus of MASs against false data injection attacks and denial-of-service attacks,"IEEE Trans. Autom. Control, vol. 69, no. 8, pp. 5538-5545, Aug. 2024.

[8] S. Sun, R. Chi, Y. Liu and N. Lin, "Model-free adaptive iterative learning from communicable agents for nonlinear networks nonsensus," IEEE Trans. Signal Inf. Process. Over Netw., vol. 9, pp. 458-467, 2023.

[9] Y. Ma, W. Che, C. Deng and Z. Wu, "Distributed model-free adaptive control for learning nonlinear MASs under DoS attacks," IEEE Trans. Neural Netw. Learn. Syst., vol. 34, no. 3, pp. 1146-1155, Mar. 2023.

[10] Z. Pan, R. Chi and Z. Hou, "Distributed model-free adaptive predictive control for MIMO multi-agent systems with deception attack,"IEEE Trans. Signal Inf. Process. Over Netw., vol. 10, pp. 32-47, 2024.

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Published

2026-05-15

Issue

Section

Articles

How to Cite

Li, Kexin. 2026. “Cooperative Flight Control of Multi-UAV Systems under a Data-Driven Paradigm”. Scientific Journal of Intelligent Systems Research 8 (4): 51-62. https://doi.org/10.54691/6x6b4583.