Command Filtered Tracking Control for Random Nonlinear Systems With Actuator Faults

Abstract

This brief considers tracking control problem for a class of random nonlinear systems (RNSs) suffering from actuator faults. RNSs are recently developed systems in control community, which are different from the well-investigated stochastic nonlinear systems (SNSs) in viewing that practical significance of the former comes more straightforward. By implementing command filtered adaptive backstepping design, the closed-loop system under actuator faults is controlled stable in the sense of ultimately bounded and the compensated tracking error can be made small enough as required. A numerical example is used to elaborate the feasibility of theoretical results.