Design patterns for real-time distributed control system benchmarking
Robotics and Computer-Integrated Manufacturing
Industrial deployment of multi-agent technologies: review and selected case studies
Autonomous Agents and Multi-Agent Systems
Using Adaptable Design to Classify Interactions Within a Distributed Control Architecture
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Evaluating a new communication protocol for real-time distributed control
Robotics and Computer-Integrated Manufacturing
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Distributed intelligent control involves matching the control model more closely with the physical system. This is particularly relevant to industrial control systems that are required to control widely distributed devices in an environment that is prone to disruptions. Although considerable work has been conducted on the application of agent technology to the upper levels of manufacturing control (e.g., scheduling, planning, supply chain management, enterprise integration), the application of these techniques to the physical level of control where real-time constraints are prevalent is relatively new. This paper provides background on the work in this area, discusses key research themes in developing real-time distributed intelligent control systems for industrial applications, and concludes by sharing thoughts about the future prospects in this area.