Optimal Leader-Following Consensus Control of Multi-Agent Systems: A Neural Network Based Graphical Game Approach
Author:
Affiliation:
1. State Key Laboratory for Turbulence and Complex Systems, Department of Mechanics and Engineering Science, College of Engineering, Peking University, Beijing, China
2. Department of Dynamics and Control, Beihang University, Beijing, China
Funder
National Natural Science Foundation of China
National Key R&D Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/6488902/9882997/09802927.pdf?arnumber=9802927
Reference46 articles.
1. Reinforcement learning and feedback control: Using natural decision methods to design optimal adaptive controllers;lewis;IEEE Control Syst,2012
2. Optimal and Autonomous Control Using Reinforcement Learning: A Survey
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4. Multi-agent discrete-time graphical games and reinforcement learning solutions
5. Multi-agent differential graphical games: Online adaptive learning solution for synchronization with optimality
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