Pattern-based State Feedback Stabilization for a Class of Processes

For a class of production processes, a modeling method based on pattern recognition is introduced, and state feedback stabilization of the system is studied in a pattern-moving state space. At the first part of the article, the modeling method of the system is introduced, which is based on pattern moving, and the system dynamics are presented by using the so-named pattern class variable(PCV) instead of a system output or state variable. A discrete-time and discrete-state nonlinear state-space model (DNSM) is given in Euclidean space based on the modeling method. And soon a new control and stability analysis method is put forward. Finally, validity of the stabilization method is demonstrated by using data of an actual production process.