Output feedback based PD-type iterative learning fault-tolerant control for uncertain discrete systems with actuator faults

This article investigates an output feedback based proportional-derivative (PD)-type iterative learning fault-tolerant control approach for a category of uncertain discrete systems subject to actuator faults. To develop the iterative learning control scheme based on the output measurement, the fault system of repetitive nature is equivalently converted into a discrete linear repetitive process. By applying a Lyapunov function, this article establishes new adequate criteria for to ensure the asymptotic stability of the implemented fault-tolerant controller through linear matrix inequality constraints. The precise allocation of the controller gain matrices is also provided. Finally, simulation results of an injection molding process demonstrate the effectiveness and viability of the proposed approach.