Reproducibility Dataset for "A Game-Theoretic MPC Framework for Cooperative and Adversarial Drone Coordination"

This dataset provides the numerical evidence supporting the article “A Game-Theoretic MPC Framework for Cooperative and Adversarial Drone Coordination”. It covers six experimental studies: Controlled comparison of generalized Nash equilibrium (GNE), variational GNE, and exact-potential minimization. Offline coordinate-based tuning of cooperative controller weights. Computational scaling and full versus move-blocked control parameterizations. Three-drone cooperative flight simulations in PyBullet. Pursuit–evasion simulations with three pursuers and two evaders. Offline analysis of a five-drone laboratory tracking experiment. The archive contains experiment configurations, solver-attempt records, predicted and executed trajectories, feasibility and equilibrium diagnostics, computation timings, weight-search results, and laboratory measurements. Failed attempts and feasible approximations are retained to support independent assessment of numerical acceptance and the distinction between accepted candidates and applied control inputs. The dataset includes all twelve manual-versus-automatic weight comparison cases and the intermediate records needed to reproduce the coordinate-search procedure. Independent verification requires the corresponding version of the separately distributed game-theory-mpc software. The archive includes verification instructions and a SHA-256 manifest for the retained data files.