Rough set based modeling and controller design in an internal model control system

Abstract

This paper proposes framework of rough set (RS) theory based internal model control (IMC) system for coagulation control. Decision rules are extracted from RS information system for modeling and controller design. Correlation analysis method is used for time delay estimation. Discretization method based on Boolean reasoning is used for real value attributes coding. Matrix computation methods are used for rule extraction and dynamic modification. The problems of inconsistence and incompleteness are analyzed. Comparing with neural network (NN) methodology, the properties of RS based modeling are discussed. Simulations show that RS theory is a valuable technique for IMC.