Name
Abstract | ||
|---|---|---|
In this brief, the practical finite-time consensus (FTC) problem is investigated for the second-order heterogeneous switched nonlinear multi-agent systems (MASs), where the subsystems and the switching signal for each agent are different. Mainly due to that agents’ dynamics are switched and the unknown nonlinearities in the systems are more general, the practical FTC problem of the MASs is rather difficult to be solved by existing methods. As such, a new protocol design framework for the FTC problem is developed. Then, a novel adaptive protocol is proposed for the switched nonlinear MASs based on the developed design framework and the neural network method. The sufficient conditions for the practical FTC of nonlinear MASs under arbitrary switching are given. Finally, a numerical example is presented to demonstrate the effectiveness of the proposed control scheme. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TNNLS.2019.2920880 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Switches,Protocols,Nonlinear systems,Artificial neural networks,Learning systems | Journal | 31 |
Issue | ISSN | Citations |
5 | 2162-237X | 14 |
PageRank | References | Authors |
0.50 | 16 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wencheng Zou | 1 | 100 | 4.33 |
| Peng Shi | 2 | 15816 | 704.36 |
| Zhengrong Xiang | 3 | 302 | 31.42 |
| Yan Shi | 4 | 285 | 27.64 |