High-gain fuzzy observer based quantized input control for uncertain nonlinear systems with sensor and actuator failures

In this paper, we propose a control scheme for a class of nonlinear systems with both sensor and actuator failures. Different from the published results, a novel compensation failure gain mechanism is proposed, where an adaptive compensation term is applied to the high gain fuzzy observer to cope with the influence of sensor failures on the system. Concurrently, the command filtered technique and quantitative input control are taken into account to simplify the design process and improve the utilization of communication resources. The proposed scheme ensures that the output of system follows a reference signal whether the system experiences a failure or not. Finally, the practicality and advantages of the controller are illustrated through two simulation examples.