Fuzzy modeling of offensive maneuver in an evader-pursuer task

In this paper we propose a new guidance law based on fuzzy logic that can be successfully used for modeling and generating complicated offensive maneuver in an evader-pursuer task encounter between two highly responsive simplified dynamic systems called as object. Based on human expert\´s decision-making process, an AI based method is proposed to model the maneuvering. Fuzzy "if ... then ..." rules are used to represent the pursuer preferences in guiding his/her system. The rules are directly obtained from expert\´s knowledge. Each rule relates the desired moving directions of the pursuer to the task parameters. The control parameters of the object are computed through a mean square error scheme. A large amount of simulations are used to ensure the satisfactory performance of the model. The results show the similarity of the model output to human like maneuvers.