2015/06/17 by Hosny Abbas, Abbas, Hosny A., Samir I. Shaheen +3
Computer Science · #FOS: Computer and information sciences #FOS: Electrical engineering #Mobile Agent-Based Network Management #Multi-Agent Systems and Negotiation #Multiagent Systems (cs.MA) #Petri Nets in System Modeling #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1506.05235
openalex publication_date 2015/06/17 · openalex created_date 2022/09/02 · openalex updated_date 2026/07/28
Multi-Agent Systems (MAS) are adopted and tested with many complex and\ncritical industrial applications, which are required to be adaptive, scalable,\ncontext-aware, and include real-time constraints. Industrial Control Networks\n(ICN) are examples of these applications. An ICN is considered a system that\ncontains a variety of interconnected industrial equipments, such as physical\ncontrol processes, control systems, computers, and communication networks. It\nis built to supervise and control industrial processes. This paper presents a\ndevelopment case study on building a multi-layered agent-based ICN in which\nagents cooperate to provide an effective supervision and control of a set of\ncontrol processes, basically controlled by a set of legacy control systems with\nlimited computing capabilities. The proposed ICN is designed to add an\nintelligent layer on top of legacy control systems to compensate their limited\ncapabilities using a cost-effective agent-based approach, and also to provide\nglobal synchronization and safety plans. It is tested and evaluated within a\nsimulation environment. The main conclusion of this research is that agents and\nMAS can provide an effective, flexible, and cost-effective solution to handle\nthe emerged limitations of legacy control systems if they are properly\nintegrated with these systems.\n