Adaptive Multiple-Model Control of a Class of Nonlinear System Using Soft Computing

In this note, an adaptive multiple-model controller was developed for a class of nonlinear systems. The multiple models technique was used to describe the most appropriate model at different environments. By designing a blending instead of switching scheme, some models close to the real plant can be selected quickly, so that the transient performance can be improved significantly. Unlike previous results, we do not require a switching scheme to guarantee the most appropriate model to be chosen which can simplify the analysis of the stability of the closed-loop system. Besides, the proposed adaptive controller is a continuous type controller.