Application of adaptive control using GPGPU to Hammerstein model

This paper discusses a design method of self-tuning control. In order to control a nonlinear system by using the linear control theory, a controlled plant assumed to be locally linear. Because the dynamic characteristics of an approximated linear model vary widely in response to operating environment, a plant model must be modified according to the changed environment. To obtain an accurate model, a lot of linear models are simultaneously identified, and a control system is designed based on one local linear model. To decide one local linear model from many linear models at sampling interval, the plant parameters of local linear model candidates are estimated using GPGPU (General-Purpose computing on Graphics Processing Units).