Fuzzy automaton for intelligent hybrid control systems

It is a difficult problem to track the status of an event-driven, large hybrid control system. These systems often encounter unexpected events in an uncertain environment. Using a fuzzy automaton offers an effective approximation method to model continuous and discrete signals in a single theoretical framework. The concept of the virtual fuzzy automaton is used to deal with a cluster of relevant states when a decision is made on the next state of a goal path at the supervisory level. The software architecture of an autonomous agent-based industrial control system is outlined, in which the agents utilize a fuzzy automaton that is wrapped in an object