The navigational control of autonomous underwater vehicle (AUV) using color petri nets

This paper addresses the navigational control and execution of motion estimation in the intelligent AUV system using color Petri nets simulation. This process is on the bases of the real-time network cycle and pre-planned directions as well as real-time data collection to estimate, decide and control various commands within underwater landmarks and waypoints. The other feature of this approach is its simplicity in the detection and recognition of possible underwater objects within the navigation route of underwater operational activity. The technique makes it attractive from the computational standpoint and guarantees its application to real-time autonomous guidance and the navigation system.