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

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.

Agent‐based architecture for manufacturing system control

2003 ◽  
Vol 14 (7) ◽  
pp. 599-609 ◽  
Author(s):  
C.K. Fan ◽  
T.N. Wong
Keyword(s):  
Control System ◽  
Flexible Manufacturing ◽  
Manufacturing System ◽  
System Control ◽  
Agent Based ◽  
Flexible Assembly ◽  
Planning And Control ◽  
Control Functions ◽  
Manufacturing System Control ◽  
And Control

A flexible manufacturing system (FMS) is a complex manufacturing system and it demands a robust control software for its scheduling, planning and control functions. This paper describes the development of an agent‐based infrastructure for the control of a cellular FMS. The FMS in this project is a flexible assembly cell (FAC), comprising two assembly robots and a conveyor system. The aim is to establish a multi‐agent control system with good expandability and to be able to cope with dynamic changes in the FAC. The proposed agent‐based FAC control system comprises a collection of agents implemented in a distributed control network. The approach of the agent design is based on the object‐oriented modelling technique. According to the proposed control architecture, a standard agent template has been designed for the establishment of individual agents in the agent‐based system.

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.

scholarly journals Basic provisions of the concept of semantic interoperability of net-centric systems.

2021 ◽  
Author(s):  
S.I. Makarenko ◽  
◽  
O.S. Solovieva ◽  
Keyword(s):  
Control System ◽  
Control Systems ◽  
State Standard ◽  
Subject Area ◽  
Semantic Interoperability ◽  
Cognitive Agents ◽  
Semantic Level ◽  
Main Thesis ◽  
Multi Agent ◽  
And Control

In the situation of transition from information and control systems to a net-centric architecture and development of net-centric information and control system, the relevance of interoperability assurance in such systems is increasing. Interoperability have to be provided at three levels: technical, semantic and organizational in accordance with Russia's state standard no. 55062-2012. Main thesis of the semantic interoperability concept are proposed in this paper on basis of a multi-agent approach and a systems, capabilities, operations, programs, and enterprises model for interoperability assessment. The peculiarity of this concept is that interaction on the semantic level in net-centric systems is formalized on basis of various types of agents: human agents, technical cognitive agents and technical reactive agents. At the same time, the semantics of agents interactions with each other is determined by goals of the agents, subject area of interaction and context.

The Research on Modeling of Agile Manufacturing Cell

2012 ◽  
Vol 503-504 ◽  
pp. 61-64
Author(s):  
Hong Wang ◽  
Xiao Shuang Men
Keyword(s):  
Control System ◽  
Agile Manufacturing ◽  
Modeling Method ◽  
Manufacturing Cell ◽  
Multi Agent ◽  
And Control ◽  
Oriented Object

According to the characteristic of agile manufacturing cell, a modeling method based on multi-agent is proposed. It strengthens rules on the basis of oriented-object method. An agent method of agile manufacturing cell management and control system is established.

Sign in / Sign up

Export Citation Format

Share Document