Rubio, Francisco R. , MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, Vivas, Carlos
No
Rev. Iberoam. Autom. Inform. Ind.
Article
Científica
4
3
0.318
0.246
01/11/2014
000346398100002
2-s2.0-84908220911
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.
Networked Control System; Distributed Estimation; Distributed Control