scholarly journals A Multi-Agent System Architecture for Coordination of the Real-Time Control Functions in Complex Industrial Systems

2011 ◽  
Vol 6 (4) ◽  
pp. 761
Author(s):  
Jiang Wu ◽  
Raynitchka Tzoneva
Keyword(s):  
Real Time ◽  
System Architecture ◽  
Multi Agent System ◽  
Real Time Control ◽  
Agent System ◽  
Industrial Systems ◽  
The Real ◽  
Time Control ◽  
Control Functions ◽  
Multi Agent

Multi-agent system architecture for coordination of the real-time control functions in complex industrial systems is presented. The problem which must be solved out is how efficiently to organize the interactions between tasks in order to satisfy the functionality and the time restriction of the system. In order to solve this problem, the treatment of the task interactions is separated from the tasks and is implemented by the proposed multi-agent system. A general three level multi-agent system is introduced to manage the interactions and schedule of tasks. A framework of building of the schedule of the tasks is also presented. Finally, the benefits of the proposed architecture are discussed.

A Layered, Multi-Agent System for Intelligent Control

1992 ◽  
Vol 4 (2) ◽  
pp. 152-158
Author(s):  
Takuya Ishioka ◽  
◽  
Morikazu Takegaki
Keyword(s):  
Real Time ◽  
Intelligent Control ◽  
Time Constraints ◽  
Multi Agent System ◽  
Real Time Control ◽  
Agent Model ◽  
Intelligent Control System ◽  
Time Control ◽  
Rule Set ◽  
Multi Agent

We propose a layered, multi-agent model as a method for establishing an intelligent control system. The model handles each task, which constitutes control processing, as a group of agents operating autonomously, and organizes the agents in a layered structure from the viewpoint of real-time constraints. This enables real-time control processing and knowledge information processing simultaneously. We will describe a method for building the layered multiagent model using a concurrent rule set. The concurrent rule set can be processed by extending the expert shell and can realize the layered agent model in various computer environments through the use of the shell.

Sign in / Sign up

Export Citation Format

Share Document