An iterative Q-learning based global consensus of discrete-time saturated multi-agent systems
This paper addresses the consensus problem of discrete-time multiagent systems (DTMASs), which are subject to input saturation and lack of the information of agent dynamics. In the previous works, the DTMASs with input saturation can achieve semiglobal consensus by utilizing the low gain feedback (L...
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| Published in: | Chaos (Woodbury, N.Y.) Vol. 29; no. 10; p. 103127 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
01.10.2019
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| ISSN: | 1089-7682, 1089-7682 |
| Online Access: | Get more information |
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