Neuroadaptive fault-tolerant tracking control of fractional-order nonaffine nonlinear systems with output constraints and input nonlinearity
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a fault-tolerant adaptive tracking control for fractional-order nonlinear systems (FONSs). The method addresses prescribed-time interval output constraints (PTIOCs) and actuator faults, ensuring system stability and performance.
Area Of Science
- Control Systems Engineering
- Nonlinear Dynamics
- Fractional Calculus
Background
- Fractional-order nonlinear systems (FONSs) present complex dynamics.
- Actuator faults and output constraints challenge control system reliability.
- Prescribed-time interval output constraints (PTIOCs) introduce specific timing requirements for system operation.
Purpose Of The Study
- To investigate fault-tolerant adaptive tracking control for nonaffine FONSs.
- To address systems with PTIOCs, nonlinear input, and actuator faults.
- To develop a control strategy that accommodates constraints and faults without controller redesign.
Main Methods
- Utilized an improved dependent-constrained-error function and a prescribed-time scaling function.
- Employed a barrier function to transform the PTIOCs issue into boundedness verification.
- Developed an adaptive fault-tolerant control algorithm.
Main Results
- Successfully mitigated the effects of actuator faults in FONSs.
- Accommodated multiple constraints and nonlinear inputs effectively.
- Demonstrated the validity of the proposed control scheme through simulations.
Conclusions
- The proposed adaptive fault-tolerant control scheme is effective for nonaffine FONSs with PTIOCs and actuator faults.
- The method ensures system stability and tracking performance under challenging conditions.
- The approach offers a robust solution for systems requiring precise timing and fault tolerance.
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