Output-feedback finite-time control for uncertain quantized nonlinear systems based on fuzzy approximation

The paper is concerned with the adaptive practical finite-time control problem for a class of single-input and single-output (SISO) quantized nonlinear systems based on the observer. The quantizer is assumed to be of the hysteresis type. Fuzzy logic systems (FLSs) are employed to identify the unknown nonlinearities. By usage of the finite-time Lyapunov stability theory and adaptive backstepping technique, a fuzzy output-feedback controller is presented, which guarantees all the signals in the system are the semi-global practical finite-time stability (SGPFS). At last, a simulation example is given to illustrate the effectiveness of the proposed method.