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Neuroadaptive fault-tolerant tracking control of fractional-order nonaffine nonlinear systems with output constraints
Fa Chen1, Lu Chen2, Huiyuan Li3
1The College of Information Science and Technology, Donghua University, Shanghai 201620, China.
Abstract:
In this article, a fault-tolerant adaptive tracking control issue is investigated for nonaffine fractional-order nonlinear systems (FONSs) with prescribed-time interval output constraints (PTIOCs), nonlinear input and actuator fault. The PTIOCs mean that the output constraints begin sometime after system operation and have a prescribed-time duration. It should be emphasized that both the start moment and the end moment of the constraints can be determined by the user. Using the improved dependent-constrained-error function and prescribed-time scaling function, as well as with the help of a barrier function, the PTIOCs issue is transformed into verifying the boundedness of the barrier function. Moreover, an adaptive fault-tolerant control algorithm is developed to mitigate the effects of actuator faults in FONSs while accommodating multiple constraints and nonlinear inputs without requiring structural changes to the controller. The validity of the proposed scheme is then substantiated by simulations.
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