Model-Free Adaptive State Feedback Control for a Class of Nonlinear Systems

This paper investigates state feedback control for a class of discrete-time multiple input and output nonlinear systems from the perspective model-free adaptive observation. The design dynamic can be efficiently carried out using linearization stability proposed method is guaranteed by theoretical analysis. Numerical simulation tests experimentation on continuous stirred tank reactor are to validate effectiveness approach. Note Practitioners —The growth in scale factories complexity associated production processes increases time involved mathematical modelling. Data driven approaches remove need model processes. To best authors’ knowledge, existing (MFAC) general all based an input-output paradigm. These methods thus cannot guarantee system state. purpose this study develop novel Model-Free Adaptive Control approach achieve In paper, assumptions required presented mathematically. A controller proof then presented. conducted future research, data presence random disturbances will investigated.