TY - GEN
T1 - Continuous-Time Distributed Nash Equilibrium Seeking for Heterogeneous High-Order Systems in Aggregative Games Over Digraphs
AU - Pei, Hongjie
AU - Tao, Qianle
AU - Liu, Yongfang
AU - Zhao, Yu
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This article investigates distributed Nash equilibrium (NE) seeking problem for aggregative games with heterogeneous higher-order integrator dynamics over weight-unbalanced digraphs.Each player possesses a local objective function that possesses not only its own strategy but also an aggregative term.First, by incorporating the compensator technique, an estimator with a consensus protocol is designed to distributed estimate this aggregative term.Second, a continuous-time distributed NE seeking algorithm is proposed by designing a state-feedback based controller, ensuring exponential convergence to NE.Moreover, the algorithm is analysed as exponentially stable through Lyapunov stability theory.Finally, the effectiveness of the algorithm is verified by numerical simulation.
AB - This article investigates distributed Nash equilibrium (NE) seeking problem for aggregative games with heterogeneous higher-order integrator dynamics over weight-unbalanced digraphs.Each player possesses a local objective function that possesses not only its own strategy but also an aggregative term.First, by incorporating the compensator technique, an estimator with a consensus protocol is designed to distributed estimate this aggregative term.Second, a continuous-time distributed NE seeking algorithm is proposed by designing a state-feedback based controller, ensuring exponential convergence to NE.Moreover, the algorithm is analysed as exponentially stable through Lyapunov stability theory.Finally, the effectiveness of the algorithm is verified by numerical simulation.
KW - consensus protocol
KW - distributed Nash equilibrium
KW - heterogeneous higher-order integrator dynamic
KW - weight-unbalanced digraph
UR - http://www.scopus.com/inward/record.url?scp=85218046224&partnerID=8YFLogxK
U2 - 10.1109/ICUS61736.2024.10840093
DO - 10.1109/ICUS61736.2024.10840093
M3 - 会议稿件
AN - SCOPUS:85218046224
T3 - Proceedings of 2024 IEEE International Conference on Unmanned Systems, ICUS 2024
SP - 101
EP - 106
BT - Proceedings of 2024 IEEE International Conference on Unmanned Systems, ICUS 2024
A2 - Song, Rong
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Conference on Unmanned Systems, ICUS 2024
Y2 - 18 October 2024 through 20 October 2024
ER -