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• W4213426106 endingPage "116711" @default.
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• W4213426106 abstract "• The designed controller can compensate multiple types of actuator faults. • A new method can make the system still maintain a good tracking effect. • A robust bounded estimation method can effectively reduce the tracking error. This paper investigates the cooperative fault-tolerant control for the nonlinear multi-agent system with hybrid actuator faults and multiple unknown control directions based on robust adaptive fuzzy sliding mode technology (RAFSMT). Firstly, a piecewise Nussbaum function is proposed to solve the multiple unknown control directions, and the robust adaptive fuzzy technique is designed to handle the nonlinear uncertainty in the system. Meanwhile, a first-order sliding mode differentiator is introduced, and it is combined with the adaptive backstepping technique to obtain the first-order derivative of the virtual control law. Moreover, a robust bounded method is used to improve the convergence speed and tracking accuracy of the designed adaptive cooperative controller. Then, the designed controller can effectively solve the fault-tolerant tracking control problem of multi-agent systems with hybrid actuator faults and unknown control directions. Compared with the methods in other references, the proposed method can make the system still maintain a good tracking effect with small steady-state error, short response time, and good fault tolerance. Finally, the effectiveness of the proposed method is verified by the comparison of simulation examples." @default.
• W4213426106 created "2022-02-25" @default.
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• W4213426106 date "2022-07-01" @default.
• W4213426106 modified "2023-10-14" @default.
• W4213426106 title "Adaptive cooperative fault-tolerance tracking control for multi-agent system with hybrid actuator faults and multiple unknown control directions" @default.
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• W4213426106 doi "https://doi.org/10.1016/j.eswa.2022.116711" @default.
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