Fuzzy adaptive dynamic surface control approach for strict-feedback nonlinear systems with disturbances

Abstract

An adaptive dynamic surface control(DSC) approach is investigated for a class of uncertain nonlinear systems with unknown bounded disturbances in this paper. The DSC approach is connected with fuzzy logic systems(FLS) to avoid the phenomenon of “explosion of complexity”. The synthetic laws are constructed by prediction error and compensated tracking error between system state and serial-parallel estimation model. Using Lyapunov stability method, all the signals of systems are uniformly ultimately bounded(UUB). Simulation example is presented to explain efficiency of control method in this paper and verify the theoretical analysis.