Adaptive Dynamic Surface Control for Finite-time Tracking of Uncertain Nonlinear Systems with Dead-zone Inputs and Actuator Faults

In this paper, a finite-time tracking control scheme for perturbed undetermined nonlinear systems governed by dead-zone inputs and actuator faults is investigated. By means of dynamic surface control technique, a suitable adaptive neural network controller is introduced, which guarantees that all signals in the closed-loop system are bounded, and that all state trajectories of the error dynamics converge to a small region in the sense of semi-globally practically finite-time stabilization. Finally, a numerical simulation is taken into consideration for the reliability of the proposed methodology.

Automated summary

This paper investigates a finite-time tracking control scheme for perturbed undetermined nonlinear systems with dead-zone inputs and actuator faults. An adaptive neural network controller is introduced using dynamic surface control technique to ensure system stability and state trajectory convergence. A numerical simulation is conducted to validate the proposed methodology.