Fuzzy State Observer-Based Adaptive Dynamic Surface Control of Nonlinear Systems with Time-Varying Output Constraints

Abstract EN

In this paper, a new fuzzy dynamic surface control approach based on a state observer is proposed for uncertain nonlinear systems with time-varying output constraints and external disturbances.

An adaptive fuzzy state observer is used to estimate the states that cannot be measured in the systems.

In our method, a time-varying Barrier Lyapunov Function (BLF) is used to ensure that the output does not violate time-varying constraints.

In addition, dynamic surface control (DSC) technology is applied to overcome the problem of “explosion of complexity” in a backstepping control.

Finally, the stability and signal boundedness of the system are confirmed by the Lyapunov method.

The simulation results show the effectiveness and correctness of the proposed method.