Adaptive finite-time fuzzy control for switched nonlinear systems with dead-zone inputs

This paper puts forward a finite-time control scheme for switched nonlinear systems with dead-zone inputs. A novel adaptive updating mechanism with a real-time dead-zone compensated function is constructed, avoiding the introduction of traditional compensating systems. In order to adjust the tracking speed and enhance the tracking effect in the existing finite-time results where the closed-loop system signals converge into an unknown time-invariant region, an error-based barrier function is proposed; and an adaptive finite-time controller is designed such that the closed-loop signals are finally to be controlled within a time-varying boundary. Finally, a simulation example is provided by a switched RLC circuit system, verifying the effectiveness of the proposed control scheme.