期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 64, 期 11, 页码 4772-4779出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2019.2905512
关键词
Multi-agent systems; Observers; Upper bound; Symmetric matrices; Decentralized control; Protocols; Neural networks; External disturbances; general nonlinearity; tracking consensus; unknown upper bound
资金
- Australian Research Council [DP170102303]
- National Natural Science Foundation of China [61673107]
- National Ten Thousand Talent Program for Young Top-notch Talents [W2070082]
- Ministry of Education [6141A020223]
- Jiangsu Provincial Key Laboratory of Networked Collective Intelligence [BM2017002]
- Scientific Research Foundation of Graduate School of Southeast University [YBJJ1717]
This paper considers the fully distributed tracking consensus problem for general nonlinear multiagent systems with a leader whose control input is nonzero and bounded. First, a new class of distributed state observer for the leader is proposed without the knowledge of the upper bound of the leaders input. Then, the situations that followers are affected by disturbances with unknown upper bound or disturbances generated by exosystems are investigated. Specifically, two distributed control protocols based on the distributed state observer, neural networks, and adaptive laws are proposed. Finally, simulation examples are provided to illustrate the theoretical results.
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