| Title | Distributed Estimation and Control Systems over Communication Networks |
|---|---|
| Authors | Rubio, Francisco R. , MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, Vivas, Carlos |
| External publication | No |
| Means | Rev. Iberoam. Autom. Inform. Ind. |
| Scope | Article |
| Nature | Científica |
| JCR Quartile | 4 |
| SJR Quartile | 3 |
| JCR Impact | 0.318 |
| SJR Impact | 0.246 |
| Web | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908220911&doi=10.1016%2fj.riai.2014.08.001&partnerID=40&md5=2db4ef90840da8cfd92ce190ae52eb61 |
| Publication date | 01/11/2014 |
| ISI | 000346398100002 |
| Scopus Id | 2-s2.0-84908220911 |
| DOI | 10.1016/j.riai.2014.08.001 |
| Abstract | This paper\'s aim is to present a novel design technique for distributed control and estimation in networked systems. The proposed problem considers a large scale, discrete LTI 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, including energy efficiency in these communications. The objective is to provide a fully distributed estimation&control scheme that stabilizes the plant while the upper bound of a given quadratic performance index is minimized. The paper analyzes two different sampling schemes, periodic and event-driven, providing stability proofs based on Lyapunov theory and design methods in terms of LMIs. Experimental results on a four couple tanks system are provided to show the performance of the proposed methodologies. |
| Keywords | Networked Control System; Distributed Estimation; Distributed Control |
| Universidad Loyola members |