Cooperative Decision-Making for Multiple UAVs Autonomous Confrontation

This paper presents a rule-based framework for addressing decision-making problems within the context of the “UI-STRIVE” Competition. First, two distinct autonomous confrontation scenarios are described: autonomous air combat and cooperative interception. Second, a StateEvent-Condition-Action(SECA) decision-making framework is developed, which integrates the finite state machine and event-condition-action frameworks. This framework provides three products to describe rules, i.e. the SECA model, the SECA state chart, and the SECA rule description. Third, the situation assessment and target assignment during autonomous air combat are investigated, and the mathematical models are established. Finally, the decisionmaking model's rationality and feasibility are verified through data simulation and analysis.