Three-level multi-leader-follower incentive Stackelberg differential game with

This paper is concerned with a three-level multi-leader-follower incentive Stackelberg game with H∞ constraint. Based on H2/H∞ control theory, we firstly obtain the worst-case disturbance and the team-optimal strategy by finding a closed-loop Nash equilibrium of the corresponding nonzero-sum stochastic differential game. The main objective is to establish an incentive Stackelberg strategy set of the three-level hierarchy in which the whole system achieves the top leader’s team-optimal solution and attenuates the external disturbance under H∞ constraint. On the other hand, followers on the bottom two levels in turn attain their state feedback Nash equilibrium, ensuring incentive Stackelberg strategies while considering the worst-case disturbance. By convex analysis theory, maximum principle and decoupling technique, the three-level incentive Stackelberg strategy set is obtained. Finally, a numerical example is given to illustrate the existence of the proposed strategy set.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-12-05
DOI
https://doi.org/10.1051/cocv/2025083/pdf
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Three-level multi-leader-follower incentive Stackelberg differential game with

Springer Link (Chiba Institute of Technology)
Distributed Control Multi-Agent Systems
article

Three-level multi-leader-follower incentive Stackelberg differential game with

article en

Abstract

This paper is concerned with a three-level multi-leader-follower incentive Stackelberg game with H∞ constraint. Based on H2/H∞ control theory, we firstly obtain the worst-case disturbance and the team-optimal strategy by finding a closed-loop Nash equilibrium of the corresponding nonzero-sum stochastic differential game. The main objective is to establish an incentive Stackelberg strategy set of the three-level hierarchy in which the whole system achieves the top leader’s team-optimal solution and attenuates the external disturbance under H∞ constraint. On the other hand, followers on the bottom two levels in turn attain their state feedback Nash equilibrium, ensuring incentive Stackelberg strategies while considering the worst-case disturbance. By convex analysis theory, maximum principle and decoupling technique, the three-level incentive Stackelberg strategy set is obtained. Finally, a numerical example is given to illustrate the existence of the proposed strategy set.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 38%
Distributed Control Multi-Agent Systems
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