Fuzzy Models Embedding STR Controller for Nonlinear Stochastic Systems
Jinglu Hu, Kotaro Hirasawa, Kousuke Kumamaru · Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications · 1998
This paper propose an adaptive controller for nonlinear stochastic systems using so called “nonlinearity embedding technique”. The idea is to distribute the nonlinearity in controller based on an appropriate partition and then to represent the distributed nonlinearity using a group of fuzzy models. In this way, the nonlinear adaptive controller can be designed in a similar way to linear control theory, thus retains some properties of linear controller such as linearity in the parameters to be adjusted.