Abstract | ||
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This paper develops a new online learning consensus control scheme for multiagent discrete-time systems by goal representation heuristic dynamic programming (GrHDP) techniques. The agents in the whole system are interacted with each other through a communication graph structure. Therefore, each agent can only receive the information from itself and its neighbors. Our goal is to design the GrHDP me... |
Year | DOI | Venue |
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2020 | 10.1109/TSMC.2018.2814018 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | DocType | Volume |
Multi-agent systems,Synchronization,Discrete-time systems,Nash equilibrium,Decentralized control,Neural networks,Performance analysis | Journal | 50 |
Issue | ISSN | Citations |
7 | 2168-2216 | 5 |
PageRank | References | Authors |
0.40 | 25 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiangnan Zhong | 1 | 346 | 16.35 |
Haibo He | 2 | 3653 | 213.96 |