Abstract
This paper presents a novel formation control framework for autonomous multi-agent systems based on distributed evolutionary dynamics and time-varying population games. We design the fitness functions using B-spline parameterization, enabling smooth, constraint-aware trajectory generation that incorporates both equilibrium targets and transient behavior. The proposed method is integrated with multiple distributed dynamics, namely replicator, projection, and Smith dynamics, and ensures convergence under connectivity and stability assumptions. Compared to conventional static fitness designs, the B-spline-based approach provides enhanced performance in formation reconfiguration and motion planning. The effectiveness of the proposed strategy is validated through extensive simulations and real-world experiments with multiple aerial nanodrones.
| Original language | British English |
|---|---|
| Article number | 106676 |
| Journal | Control Engineering Practice |
| Volume | 168 |
| DOIs | |
| State | Published - Mar 2026 |
Keywords
- B-spline parameterization
- Formation reconfiguration
- Game theory
- Multi-copter
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