Abstract
Dear Editor, This letter studies the distributed Nash equilibrium seeking problem of aggregative game, in which the decision of each player obeys second-order dynamics and is constrained by nonidentical convex sets. To seek the generalized Nash equilibrium (GNE), a projection-based distributed algorithm via constant step-sizes is developed with linear convergence. In particular, a variable tracking technique is incorporated to estimate the aggregative function, and an event-triggered mechanism is designed to reduce the communication cost. Finally, a numerical example demonstrates the theoretical results.
| Original language | English |
|---|---|
| Pages (from-to) | 1519-1521 |
| Number of pages | 3 |
| Journal | IEEE/CAA Journal of Automatica Sinica |
| Volume | 12 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 2025 |
| Externally published | Yes |
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