Fuzzy model reference learning control for cargo ship steering

The fuzzy model reference learning controller (FMRLC) primarily focuses on improving existing learning control approaches or introducing new ones. A comparative analysis of the FMRLC and conventional model reference adaptive control (MRAC) for a cargo ship steering application is provided. The main objective is to make an initial assessment of what advantages (if any) a fuzzy learning control approach has over conventional adaptive control approaches.<<ETX>>