| Title | Distributed Control and Estimation Scheme With Applications to Process Control |
|---|---|
| Authors | ORIHUELA ESPINA, DIEGO LUIS, MILLÁN GATA, PABLO, Vivas, Carlos , Rubio, Francisco R. |
| External publication | No |
| Means | IEEE Trans Control Syst Technol |
| Scope | Article |
| Nature | Científica |
| JCR Quartile | 1 |
| SJR Quartile | 1 |
| JCR Impact | 2.818 |
| SJR Impact | 1.966 |
| Web | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027932058&doi=10.1109%2fTCST.2014.2364120&partnerID=40&md5=601f3b51eafed3bdeca9956a335b0934 |
| Publication date | 01/07/2015 |
| ISI | 000356523600025 |
| Scopus Id | 2-s2.0-85027932058 |
| DOI | 10.1109/TCST.2014.2364120 |
| Abstract | This brief proposes an innovative estimation and control scheme that enables the distributed monitoring and control of large-scale processes. The proposed approach considers a discrete linear time-invariant process controlled by a network of agents that may both, collect information about the evolution of the plant, and apply control actions to drive its behavior. The problem makes full sense when local observability/controllability is not assumed and the communication between agents can be exploited to reach system-wide goals. The design procedure guarantees system stability, allowing the designer to tradeoff performance and control effort. The obtained controllers and observers are implemented in a fully distributed fashion. To show the performance of the proposed technique, simulation results on a water delivery system are provided. |
| Keywords | Distributed estimation and control; large-scale plants; sensor networks (SNs) |
| Universidad Loyola members |