Performance analysis of a multi-agent scheduling and control system under manufacturing disturbances

2004 ◽  
Vol 15 (2) ◽  
pp. 225-235 ◽  
Author(s):  
Robert W. Brennan ◽  
William O.
Keyword(s):  
Control System ◽  
Performance Analysis ◽  
Agent Scheduling ◽  
Multi Agent ◽  
And Control

Distributed multi-agent scheduling and control system for robotic flexible assembly cells

2017 ◽  
Vol 30 (4) ◽  
pp. 1629-1644 ◽  
Author(s):  
Abderraouf Maoudj ◽  
Brahim Bouzouia ◽  
Abdelfetah Hentout ◽  
Ahmed Kouider ◽  
Redouane Toumi
Keyword(s):  
Control System ◽  
Flexible Assembly ◽  
Agent Scheduling ◽  
Multi Agent ◽  
And Control

Performance Analysis of Integrated Communication and Control System Networks

1990 ◽  
Vol 112 (3) ◽  
pp. 365-371 ◽  
Author(s):  
Y. Halevi ◽  
A. Ray
Keyword(s):  
Control System ◽  
Statistical Analysis ◽  
Performance Analysis ◽  
Control Systems ◽  
Manufacturing Plants ◽  
Asynchronous Time Division Multiplexing ◽  
Processing Plants ◽  
Integrated Communication ◽  
Time Division ◽  
And Control

This paper presents statistical analysis of delays in Integrated Communication and Control System (ICCS) networks [1–4] that are based on asynchronous time-division multiplexing. The models are obtained in closed form for analyzing control systems with randomly varying delays. The results of this research are applicable to ICCS design for complex dynamical processes like advanced aircraft and spacecraft, autonomous manufacturing plants, and chemical and processing plants.

Multi-Agent Control System for the Movement of Uniaxial Objects

2015 ◽  
Vol 237 ◽  
pp. 183-188
Author(s):  
Mirosław Mrozek
Keyword(s):  
Control System ◽  
Point Of View ◽  
Multi Agent Systems ◽  
Control Groups ◽  
Agent Systems ◽  
Multi Agent ◽  
Agent Control ◽  
Classical Control ◽  
And Control ◽  
Multi Agents

Multi-agent systems are used mainly in IT solutions and control groups of robots. From the point of view of classical control architectures, they are a kind of distributed systems in which nodes perform advanced algorithms, usually associated with the technology of artificial intelligence, and they can be considered as agents. The article describes the multi-agents control system of objects of uniaxial movements. An example of such a system to control a repository with movable racks with electric motors is presented. Each rack acts as an agent through the implemented control of the resources of embedded microcontrollers. Such a system provides high quality control, guaranteeing long-lasting, trouble-free operation while maintaining the safety of both service and stored items.

Multi-Agent Based Modeling of Warship Combat Command and Control System

2012 ◽  
Vol 246-247 ◽  
pp. 898-902
Author(s):  
Xing Zhong Wang
Keyword(s):  
Control System ◽  
Role Model ◽  
Heterogeneous Systems ◽  
Command And Control ◽  
Interaction Model ◽  
Design System ◽  
Model Interaction ◽  
Multi Agent ◽  
And Control ◽  
Command And Control System

To solving the inefficiency-problem in warship combat command and control system, this paper builds multi-agent oriented system architecture. It uses CORBA to support communication among heterogeneous systems and uses UML to design system prototype. Taking our two warships chasing an enemy-warship collaboratively for example, this paper illustrates the agent-oriented modeling process, including the role model, interaction model, state model and class model. This approach is able to meet the needs of modeling the warship combat command and control system.

Research on Cooperation Mechanism of Multi-Agent Grinding Control System Based on Blackboard Model

2013 ◽  
Vol 397-400 ◽  
pp. 2469-2472 ◽  
Author(s):  
Hong Wei Zhao ◽  
Yi Ming Qi ◽  
Dong Zhao ◽  
Shi Hui Pei
Keyword(s):  
Control System ◽  
Control Agent ◽  
Industrial Control ◽  
Individual Agent ◽  
Blackboard Model ◽  
Cooperation Mechanism ◽  
Control Decision ◽  
Multi Agent ◽  
The Individual ◽  
And Control

In order to solve the complex industrial control problems in grinding control,we construct multi-agent grinding control system based on the blackboard model in this paper. Through the study on the structure and control mechanism of the blackboard model, we design a framework for blackboard model in multi-agent grinding control system, divide and introduce the function model of the blackboard in detail, establish blackboard control agent to control and coordinate how the individual agent takes use of the blackboard resources centralizedly.Aiming at actual situations of the grinding control,we put forward cooperation mechanism multi-agent based on a combination of tasks sharing and results sharing, establish control decision agent to solve the conflict caused by multi-agent cooperation. The cooperation mechanism multi-agent grinding control system improves the execution ability of the individual agent, avoids the conflict caused by different goals and the competition of resources, ensures the coordinated executive of multiple tasks.

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