Dynamic-surface-based adaptive predefined-time control for nonlinear non-affine switched systems with sensor fault

The adaptive neural tracking fault-tolerant control problem is considered for nonlinear non-affine switched systems with sensor faults via dynamic surface control (DSC) technique under arbitrary switchings within predefined-time interval. During the controller design process, the non-affine formation strictly processed so that the implicit control signals can be transformed into explicit ones. The introduction of hyperbolic tangent function to design the control signal eliminates the singularity at the same time, but also avoids the tedious discussion of the segmentation function to solve the singularity. Considering Lyapunov stability theorem, an adaptive fault tolerant control approach is presented, which means that the settling-time can be programmed by the user practical specification under arbitrary switching, the predefined time boundedness of all closed-loop signals can be ensured, and the influence of sensor faults can be compensated. The effectiveness of the presented method is verified via simulation results.