| Title | Distributed agent-based control and estimation over unreliable networks for a class of nonlinear large-scale systems |
|---|---|
| Authors | MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, JURADO FLORES, ISABEL |
| External publication | No |
| Means | Int J Control |
| Scope | Article |
| Nature | Científica |
| JCR Quartile | 2 |
| SJR Quartile | 1 |
| JCR Impact | 2.78 |
| SJR Impact | 1.09 |
| Web | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027877406&doi=10.1080%2f00207179.2017.1365272&partnerID=40&md5=f9b61ff9e984c98b062dedb2fd09c81b |
| Publication date | 04/03/2019 |
| ISI | 000465220400016 |
| Scopus Id | 2-s2.0-85027877406 |
| DOI | 10.1080/00207179.2017.1365272 |
| Abstract | A new technique for distributed estimation and control of large-scale systems is presented in this paper. The proposed method makes use of a set of agents that implement local H-infinity controllers and Luenberger-like observers, improved with consensus-based corrections that incorporate information received from other agents. The communication between agents is assumed to be unreliable, this is modelled by time-varying delays and packet dropouts. The proposed methodology is an application for a class of nonlinear system affected by external disturbances. Some simulations are presented to illustrate the performance of this technique compared to the centralised case. |
| Keywords | Distributed control; networked control; robust control; discrete time systems |
| Universidad Loyola members |