Journal of Guidance Control and Dynamics · 2006 · 136 citations · 31 references
EngineeringAerospace EngineeringDecision SciencesDecision AnalysisDecision TheoryGame TheoryAir WarfareAircraft ControlDynamic GamesManeuveringManeuvering ControlOptimal ControlAutomated Decision-makingFinite Horizon ControlFlight Dynamics ModelingGame-theoretic ControlNash Equilibrium ComputationOptimal Control In GamesOptimal Maneuvering ControlReceding Horizon Control
The paper introduces a multistage influence diagram game to model and analyze pilots’ maneuvering decisions in one‑on‑one air combat, demonstrating its use with a point‑mass aircraft model and proposing a new framework for automated combat maneuver selection. The game graphically represents decision elements, incorporates aircraft dynamics, and models pilots’ preferences under uncertainty; optimal control sequences are obtained by solving the influence diagram game with a moving‑horizon control approach that truncates the horizon and computes a feedback Nash equilibrium at each decision stage. The authors demonstrate the model by computing and analyzing point‑mass aircraft examples, showing that the influence diagram game provides a novel method for optimal air‑combat maneuver analysis and supports automated decision‑making in simulators.
Thepaperdescribesamultistageinfluencediagramgameformodelingthemaneuveringdecisionsofpilotsinoneon-one air combat. The game graphically describes the elements of the decision process, contains a model for the dynamics of the aircraft, and takes into account the pilots’ preferences under conditions of uncertainty. The pilots’ game optimal control sequences with respect to their preference models are obtained by solving the influence diagram game with a moving horizon control approach. In this approach, the time horizon of the original game is truncated, and a feedback Nash equilibrium of the dynamic game lasting only a limited planning horizon is determined and implemented at each decision stage. To demonstrate the influence diagram game and its aspects, exampleswithapointmassaircraftmodelarecomputedandanalyzed.Thegamemodelpresentedinthepaperoffers a new way to analyze optimal air combat maneuvering and to develop an automated decision making system for selecting combat maneuvers in air combat simulators.
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Model predictive heuristic control
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