Fuzzy logic enhanced time Petri Net models for hybrid control systems

Abstract

A Hybrid Control System (HCS) model has to implement the reaction to discrete events that occur in a controlled plant and as well as to control the continuous time parts according to required behaviors. A certain type of models that includes discrete event and discrete time features is proposed. More than this, the currently proposed models are capable of describing the synchronous and asynchronous reactions to discrete events and continuous modifications of plant outputs. The proposed models endow the Enhanced Time Petri Nets (ETPNs) with Fuzzy Logic (FL) rules leading to the Fuzzy Logic Enhanced Time Petri Net (FLETPN) model. An example of application to the control of the longitudinal move of a vehicle is used to show the model utilization and its benefits.