Command Filter-Based Adaptive Fuzzy Control for Nonlinear Systems With Unknown Control Directions

To deal with a class of nonlinear systems with unknown control directions, a command filter-based adaptive tracking controller is designed in this paper. In the design process, fuzzy logic system is required to handle nonlinear functions, command filter is employed to settle the explosion of complexity problem and Nussbaum function is introduced to compensate the influence of unknown directions problem. Finally, the proposed control approach guarantees that error signals converge into bounded compact sets around the origin and all closed-loop signals are bounded. The effectiveness of the presented scheme is illustrated by a simulation example.

Automated summary

In this paper, a command filter-based adaptive tracking controller is proposed to deal with a class of nonlinear systems with unknown control directions. The design process involves the use of a fuzzy logic system and Nussbaum function to handle nonlinear functions and compensate for the influence of unknown directions. The effectiveness of the control approach is demonstrated through a simulation example.