Previous Article in Journal
Practical Prescribed-Time Trajectory Tracking Consensus for Nonlinear Heterogeneous Multi-Agent Systems via an Event-Triggered Mechanism
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Prescribed-Time, Event-Triggered, Adaptive, Fault-Tolerant Formation Control of Heterogeneous Air–Ground Multi-Agent Systems Under Deception Attacks and Actuator Faults

1
College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
2
5G+Industrial Internet Institute, Fuzhou University, Fuzhou 350108, China
*
Author to whom correspondence should be addressed.
Actuators 2025, 14(12), 575; https://doi.org/10.3390/act14120575
Submission received: 24 October 2025 / Revised: 21 November 2025 / Accepted: 24 November 2025 / Published: 26 November 2025
(This article belongs to the Section Control Systems)

Abstract

This paper investigates a distributed robust tracking control method with prescribed convergence time for heterogeneous air–ground multi-agent systems under the combined effects of deception attacks and actuator faults. Considering the corruption of state information caused by attacks, a time-varying constraint function is first designed, and a command filtering mechanism is introduced. Through coordinate transformation, the disturbed state is indirectly estimated and safely fed back. To cope with actuator malfunctions leading to uncertain control effectiveness, a rationally designed adaptive law is developed for real-time identification and compensation of such uncertainties. Furthermore, within the backstepping control framework, the concept of time-varying constraints is integrated to propose an adaptive prescribed-time controller, transforming the tracking control problem into an error constraint form, thereby ensuring the system error converges within a specified range within a given time. To reduce communication load, the controller is implemented with an event-triggered mechanism, where control signals are updated only at trigger times, effectively avoiding Zeno behavior. Finally, the boundedness and stability of the closed-loop system are proven using Lyapunov methods. Simulation results demonstrate that this control strategy maintains stable and rapid heterogeneous formation tracking performance even in the presence of deception attacks and actuator faults.
Keywords: heterogeneous air–ground multi-agent systems; prescribed-time control; event-triggered mechanism; deception attacks; actuator faults heterogeneous air–ground multi-agent systems; prescribed-time control; event-triggered mechanism; deception attacks; actuator faults

Share and Cite

MDPI and ACS Style

Huang, J.; Xie, J.; Huang, J.; Liu, S. Prescribed-Time, Event-Triggered, Adaptive, Fault-Tolerant Formation Control of Heterogeneous Air–Ground Multi-Agent Systems Under Deception Attacks and Actuator Faults. Actuators 2025, 14, 575. https://doi.org/10.3390/act14120575

AMA Style

Huang J, Xie J, Huang J, Liu S. Prescribed-Time, Event-Triggered, Adaptive, Fault-Tolerant Formation Control of Heterogeneous Air–Ground Multi-Agent Systems Under Deception Attacks and Actuator Faults. Actuators. 2025; 14(12):575. https://doi.org/10.3390/act14120575

Chicago/Turabian Style

Huang, Jingli, Junjiang Xie, Jie Huang, and Shangkun Liu. 2025. "Prescribed-Time, Event-Triggered, Adaptive, Fault-Tolerant Formation Control of Heterogeneous Air–Ground Multi-Agent Systems Under Deception Attacks and Actuator Faults" Actuators 14, no. 12: 575. https://doi.org/10.3390/act14120575

APA Style

Huang, J., Xie, J., Huang, J., & Liu, S. (2025). Prescribed-Time, Event-Triggered, Adaptive, Fault-Tolerant Formation Control of Heterogeneous Air–Ground Multi-Agent Systems Under Deception Attacks and Actuator Faults. Actuators, 14(12), 575. https://doi.org/10.3390/act14120575

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop