Modeling and Analysis of Mixed-Initiative Control for Unmanned System

Human-machine collaborative decision-making and control can give play to the advantages of human intelligence and artificial intelligence and flexibly cope with battlefield changes in complex, dynamic environments. A theoretical framework for human-machine mixed-initiative control is investigated to address the problems of the unclear human-machine collaborative process, imperfect theory, and lack of models to drive and manage operational activities. According to the corresponding relationship between the place, the transition, and each node of the control process, a human-machine mixed-initiative control model is established using the Petri net. For the problems of difficult command and control and inefficient resource scheduling in implementing actions, a regional reconnaissance and strike Petri net model is designed and established by combining the observe-orient-decide-act(OODA) loop theory.The performance indicators are calculated and analyzed in platform independent Petri net editor(PIPE). The results show that the human-machine mixed-initiative control model can organize and manage operational activities effectively.