Architecture for Multiagent-Based Control Systems

Abstract

Abstract. This paper presents a multiagent architecture that covers the new requirements for the new control systems such as the distribution and decentralisation of system elements, the definition of communications between these elements, the fast adaptation in the control and organizational changes. The agents in this architecture can cooperate and coordinate to achieve a global goal, encapsulate the hardware interfaces and make the control system easily adapt to different requirements through configuration. Finally, the proposed architecture is applied to a control system of a solar power plant, obtaining a preliminary system that achieve the goals of simplicity, scalability, flexibility and optimization of communications system.

A scheme for the simulation of networked agent systems modeled by timed hybrid Petri nets

“…One suitable approach for analyzing large and complex distributed systems through simulation is to consider such systems as a collection of networked agents. [1][2][3][4][5] This kind of divide and conquer strategy allows handling both the complex behavior of the entities (agents) and their interaction. Complex entities may exhibit a hybrid behavior, in which discrete and continuous events take place; thus, an agent's internal state must represent these two dynamics by handling both integer and real valued variables.…”