Abstract
The consensus problem for a class of second-order nonlinear leader-following multi-agent systems only using sampled-data information is investigated in this paper. First, we design a continuous-time controller by integrating the graph theory and Lyapunov design methods together. Then, the explicit formula for the maximum allowable sampling period is computed such that the discretized controller will guarantee global stability of the closed-loop system. Using the sampled-data feedback domination technique, it is shown that the systems states can reach consensus by choosing appropriate gain and sampling period. An example is given to verify the efficiency of the proposed method. © 2015 Technical Committee on Control Theory, Chinese Association of Automation.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 34th Chinese Control Conference, CCC 2015 |
| Publisher | IEEE Computer Society |
| Pages | 7178-7183 |
| Volume | 2015-September |
| ISBN (Print) | 9789881563897 |
| DOIs | |
| Publication status | Published - 11 Sept 2015 |
| Externally published | Yes |
| Event | 34th Chinese Control Conference, CCC 2015 - Hangzhou, China Duration: 28 Jul 2015 → 30 Jul 2015 |
Publication series
| Name | Chinese Control Conference, CCC |
|---|---|
| Volume | 2015-September |
| ISSN (Print) | 1934-1768 |
| ISSN (Electronic) | 2161-2927 |
Conference
| Conference | 34th Chinese Control Conference, CCC 2015 |
|---|---|
| Place | China |
| City | Hangzhou |
| Period | 28/07/15 → 30/07/15 |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to <a href="mailto:[email protected]">[email protected]</a>.Funding
This work is supported by the Natural Science Foundation of China (61304007), Ph.D. Programs Foundation of Ministry of Education of China (20130111120007), and the China Postdoctoral Science Foundation Funded Project (2014T70584).
Research Keywords
- Consensus
- Multi-agent systems
- Nonlinear systems
- Sampled-data control
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