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[ES] En este artículo se describe una estrategia de control distribuida, utilizando elementos empotrados, mediante un PLGGOHZDUH de control denominado núcleo de control, en el que se implementan controladores digitales de altas prestaciones, diseñados de forma modular, en sistemas con capacidad de cómputo limitada. Se presenta una metodología tanto para la obtención de una métrica que permita la comparación de los distintos modos de funcionamiento ante pérdidas de datos, como para la elección de los parámetros de los controladores a implementar en cada nodo del sistema distribuido de control. Se presentan varios modos de funcionamiento que permite adaptar el sistema desarrollado a distintas situaciones. El trabajo se completa con la implementación de la simulación del sistema distribuido y su prueba sobre un proceso real., [EN] In this paper a distributed control strategy described using embedded items, using a control middleware called control kernel, in which high performance digital controllers designed in a modular way, on systems with limited computational capabilities are implemented. A methodology is presented for both obtaining a metric that allows comparison of different modes of operation for any loss of data, and for the choice of parameters of the controllers implemented in each node of the distributed control system. Multi-mode which allows adapting the system developed at different situations arise. The work was completed with the implementation of distributed system simulation and test of a real process., Este trabajo ha sido parcialmente financiado por el proyecto CICYT COBAMI con referencia DPI 2011-28507-C02-01/02, del Ministerio de Educación y Ciencia.

Quality of service policies in communications is one of the current trends in distributed systems based on middleware technology. To implement the QoS policies it is necessary to define some common parameters. The aim of the QoS policies is to optimize the user defined QoS parameters. This article describes how to obtain the common QoS parameters using message queues for the communications and control components of communication. The paper introduces the Queue-based Quality of Service Cycle concept for each middleware component. The QoS parameters are obtained directly from the queue parameters, and Quality of Service Policies controls directly the message queues to obtain the user-defined parameters values., The middleware architecture described in this article is a part of the coordinated project SIDIRELI: Distributed Systems with Limited Resources. Control Kernel and Coordination. Education and Science Department, Spanish Government. CICYT: MICINN: DPI2008-06737-C02-01/02.