Joint Coverage and Power Control in Highly Dynamic and Massive UAV Networks: An Aggregative Game-theoretic Learning Approach

Wu, Jing; Chen, Qimei; Jiang, Hao; Wang, Haozhao; Xie, Yulai; Xu, Wenzheng; Zhou, Pan; Xu, Zichuan; Chen, Lixing; Li, Beibei; Wang, Xiumin; Wu, Dapeng

doi:10.48550/arxiv.1907.08363

Search citation statements

Order By: Relevance

Paper Sections

Select...

Lemma 2 Based On Assumption 3 F(q) Is Strongly Monotone and ...1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As we know, many mechanical systems can be described by the EL equations such as unmanned aerial vehicle (UAV) [27] and robots [28]. The dynamics of EL systems can be described by the following equation:…”

Section: Lemma 2 Based On Assumption 3 F(q) Is Strongly Monotone and ...mentioning

confidence: 99%

Distributed aggregative games for Euler–Lagrange systems with system parameter uncertainties

Deng

et al. 2022

Asian Journal of Control

View full text Add to dashboard Cite

In this paper, an aggregative game of Euler-Lagrange (EL) systems is studied, where the parameters of the EL systems are not available. To seek the Nash equilibrium of the game, a novel distributed Nash equilibrium seeking algorithm is proposed, where the system parameters are not used in the feedback control. Moreover, a Lyapunov function is constructed such that EL players are proved to exponentially converge to the Nash equilibrium of the game. Finally, an example in the electricity market is provided to illustrate our result.

show abstract

Section: Lemma 2 Based On Assumption 3 F(q) Is Strongly Monotone and ...mentioning

confidence: 99%

Distributed aggregative games for Euler–Lagrange systems with system parameter uncertainties

Deng

et al. 2022

Asian Journal of Control

View full text Add to dashboard Cite

show abstract

Joint Coverage and Power Control in Highly Dynamic and Massive UAV Networks: An Aggregative Game-theoretic Learning Approach

Cited by 1 publication

References 0 publications

Distributed aggregative games for Euler–Lagrange systems with system parameter uncertainties

Distributed aggregative games for Euler–Lagrange systems with system parameter uncertainties

Contact Info

Product

Resources

About