Cooperative Finitely Excited Learning for Dynamical Games-Reference-Cited by-同舟云学术

Cooperative Finitely Excited Learning for Dynamical Games

Published:2024-02 Issue:2 Volume:54 Page:797-810
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Yang Yongliang¹^ORCID,Modares Hamidreza²^ORCID,Vamvoudakis Kyriakos G.³^ORCID,Lewis Frank L.⁴^ORCID

Affiliation:

1. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China

2. Mechanical Engineering Department, Michigan State University, East Lansing, MI, USA

3. Daniel Guggenheim School of Aerospace Engineering, Georgia Tech, Atlanta, GA, USA

4. UTA Research Institute, The University of Texas at Arlington, Arlington, TX, USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

https://ieeexplore.ieee.org/ielam/6221036/10402573/10138888-aam.pdf

Reference52 articles.

1. Solutions for Multiagent Pursuit-Evasion Games on Communication Graphs: Finite-Time Capture and Asymptotic Behaviors

2. Multi-agent differential graphical games: Online adaptive learning solution for synchronization with optimality

3. Design of a multi-hop dynamic consensus algorithm over wireless sensor networks

4. Recent Research in Cooperative Control of Multivehicle Systems

5. Distributed Cooperative Adaptive Identification and Control for a Group of Continuous-Time Systems With a Cooperative PE Condition via Consensus

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