A Scalable Algorithm for Self-Organization in Event-Triggered Networked Control Systems
Andreea Ion, Monica Pătraşcu · 2019
This paper deals with the event-triggered design of on-demand, distributed control systems by using a specialized version of networked multi-agent systems called cell agents. In an interconnected world, where the number of devices that join various (socio-)technical networks increases every day, some of the most important challenges are related to the optimization of timeframes necessary for seamless integration and control. These concerns translate, in this case, into two problems: how to automatically design networked control systems and how fast can this process be. This study presents a scalable algorithm for self-organization of control systems and the resulting cell structure. In order to create on-demand scalable control loops which are then used to control a given set of processes, the systems involved communicate over a network based on specific methodologies that use aperiodic, asynchronous event-triggered mechanisms. This distributed algorithm is suitable for designing large-scale networked control systems. Simulation results that validate extensibility and effectiveness are included.