2025/03/29 by Gholami, Fatemeh, Hashemi, Mahnaz, Shahgholian, Ghazanfar
#Actuator fault #Adaptive control #Dynamic event-triggered control #Fractional-order systems #Multi-agent systems #Neural networks #Strict-feedback systems
paper · doi:10.57647/j.spre.2025.0901.03
This paper proposes a novel distributed adaptive dynamic event-triggered control (DADETC) scheme for uncertainties multi-agent fractional-order nonlinear systems affected by actuator faults. The proposed controller can compensate for a wide range of actuator failures without the necessity for explicit fault detection. To address the problem of the unnecessary waste of communication resources, a distributed dynamic event-triggered control (DETC) is designed. In the design process, it is assumed that only the information of the first state of the followers is available. A state observer is used to measure non-measurable states. Neural networks are used to approximate uncertainties. Then, an adaptive fault strategy is applied for compensate the loss of effectiveness and stuck actuator faults. A detailed analytical proof is presented in the following to show that the proposed strategy successfully avoids the Zeno phenomenon. Finally, the Lyapunov fractional-order stability method is employed to guarantee the boundedness of all closed-loop signals and the convergence of the tracking error to a small neighborhood of the origin.