Abstract
The paper presents a finite-time distributed control method for consensus of networked multiple systems, which is different from the traditional methods based on signum function or fractional power state feedback (where the finite convergence time is contingent on initial conditions and the control action is discontinuous or non-smooth). More specifically, the proposed method is built upon the regular state feedback, incorporated with a finite-time scaling function, leading to distributed smooth control action. Furthermore, with this method, the consensus is achieved within prescribed-time under bidirectional interaction. Namely, all the agents reach the average consensus in designer-assigned finite time under undirected connected topology. Numerical simulations demonstrate and validate the superiority of the proposed control.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 4088-4093 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509028733 |
| DOIs | |
| Publication status | Published - Dec 2017 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Funding
This work was supported in part by the National Natural Science Foundation of China (No. 61773081), technology transformation program of Chongqing higher education university (KJZH17102), and a grant from the Research Grants Council of the Hong Kong Special Administrative Region under General Research Fund through Project (No. 17202414).
Keywords
- Consensus
- Networked multiple systems
- Prescribed-time