This chapter studies the tracking control problem for the interconnected nonlinear systems, whose subsystems is subject to actuator faults. Combining adaptive control with quantitative control, by using fuzzy logic systems, a fault-tolerant adaptive fuzzy control strategy is developed. Unlike common works in literature where a rigorous assumption that input powers equal one is necessary, this chapter investigates an unknown case, namely, the powers greater than one are unknown. In this strategy, to avoid actuator damage, some constraints are also employed in input design. From Lyapunov stability theory, tracking errors are proven to converge to a neighborhood of the origin within a finite time. Finally, a simulation example is given to illustrate the effectiveness of the control strategy.