The virtual fuzzy automaton approach to the problem of global state evaluation in multitask control systems

Real-world applications are often controlled with systems capable of executing several simultaneous control tasks. Each control task works in parallel with other control tasks to achieve common control goals. A desirable property for the design, analysis and supervision of such systems is the representation of an encapsulated (overlaid) state set which extends over the states of several tasks and characterizes the current control situation in application-related term. The paper describes the reason why traditional power-set state based approaches are not enough practical in the case of large, complex systems, and suggests a solution based upon the concept of a virtual fuzzy finite state machine.