title: Supervisory control design based on hybrid systems and fuzzy events detection. Application to an oxichlorination reactor
abstract: This paper presents a supervisory control scheme based on hybrid systems theory and fuzzy events detection. The fuzzy event detector is a linguistic model, which synthesizes complex relations between process variables and process events incorporating experts' knowledge about the process operation. This kind of detection allows the anticipation of appropriate control actions, which depend upon the selected membership functions used to characterize the process under scrutiny. The proposed supervisory control scheme was successfully implemented for an oxichlorination reactor in a vinyl monomer plant
keyphrases: supervisory control design hybrid systems oxichlorination reactor linguistic model complex relations process variables process events process operation control actions membership functions vinyl monomer plant events detection. fuzzy expert knowledge reactor stability raw material consumption discrete events systems reactive systems finite state machines