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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

SJR Quartile

JCR Impact

2.818

SJR Impact

1.966

Publication date

01/07/2015

ISI

000356523600025

Scopus Id

2-s2.0-85027932058

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)

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