| Autor: |
Li Guo, Xuming Cui, Hainan Yang, Zhenyi Xu, Yingzhan Lian, Zhucai Hong |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 Chinese Control Conference (CCC). |
| DOI: |
10.23919/chicc.2019.8865145 |
| Popis: |
This paper addresses the distributed adaptive concensus problem of multi-agent system with unknown output dead-zone. By combining adaptive neural control technique and dynamic surface error design, a local controller for each follower is constructed. Meanwhile, the Nussbaum-type functions are applied to handle the unknown control gain problems aroused by the output dead-zone nonlinearity. The proposed control scheme guarantees that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded. Finally, simulation are conducted to further verify our theoretical results. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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