Skip to Main Content
This paper proposes an enhancement of industrial control through a combination of discrete event supervisory control methods and fuzzy techniques. Such a combination enables a control system not only to perform standard tasks of preventing the forbidden states, driving through the shortest path, etc., but also to make more flexible and sophisticated decisions using additional uncertain and/or incomplete information, e.g. on "safer" or "faster" trajectories, "preferable" states, etc. Forms of introducing fuzziness into a discrete event control framework are analyzed. Three possible implementations are considered: fuzzy assignment of strategies, fuzzy strategy, and fuzzy synchronization. Formal considerations are accompanied by illustrative examples from automated manufacturing.