Fault tolerant control for unknown nonlinear systems with actuator failures: An adaptive fuzzy approach

In this paper, an adaptive fuzzy approach is proposed to deal with output regulation of unknown nonlinear systems with actuator failures. The actuator failures under consideration can be lock-in-place or/and loss of effectiveness. Based on fuzzy logic systems (FLS) equipped with adaptive algorithms to approximate the nonlinear system functions and the occurred failures together, a fault tolerant control law is developed to achieve asymptotic output regulation and closed-loop stability, despite the system and actuator faults are all unknown. A numerical simulation study illustrates the effectiveness of the proposed control approach.