scholarly journals DRIVING CYCLES SELF-RECOGNITION OF HEV BASED ON MULTI-AGENT THEORY

2019 ◽  
Vol 32 (3) ◽  
pp. 246-252
Author(s):  
Limin Niu ◽  
Lijun Y ◽  
Hongyuan Yang
Keyword(s):  
Agent Theory ◽  
Driving Cycles ◽  
Self Recognition ◽  
Multi Agent

scholarly journals Use of Multi-Agent Theory to Resolve Complex Indoor Air Quality Control Problems

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1206
Author(s):  
Shang-Yuan Chen ◽  
Cheng-Yen Chen
Keyword(s):  
Quality Control ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Control Program ◽  
Quality Data ◽  
Agent Theory ◽  
Air Quality Control ◽  
Multi Agent ◽  
Basic Ability

Taiwan has suffered from widespread haze and poor air quality during recent years, and the control of indoor air quality has become an important topic. This study relies on Multi-Agent theory in which collected air quality was used in calculations and after agents make decisions in accordance with pre-written rules to construct and indoor air quality control system and conflict resolution mechanism, which will serve to maintain a healthy and comfortable indoor environment. As for implementation, the simulated system used the Arduino open source microcontroller system to collect air quality data and turn on building equipment in order to improve indoor air quality. This study also used the graphic control program LabVIEW to write a control program and user interface. The implementation verifies the feasibility of applying multi-agent theory to air quality control systems, and an Individual intelligent agent has the basic ability to resolve their own conflicts autonomously. However, when there are multiple factors and user status are simultaneously involved in the decision-making, it is difficult for the system to exhaust all conflict conditions, and when context control surpassing the restrictions of binary logic rule-based reasoning, it is necessary to change the algorithm and redesign the system.

Review on Application Research of Multi-Agent Theory in Industrial Process Control

2012 ◽  
Vol 11 (1) ◽  
pp. 614-617
Author(s):  
Jianchang Liu ◽  
Yulian Jiang ◽  
Shubin Tan ◽  
Pingsong Ming
Keyword(s):  
Process Control ◽  
Industrial Process ◽  
Application Research ◽  
Agent Theory ◽  
Multi Agent ◽  
Industrial Process Control

Study on Emergency Decision-Making of Natural Disaster Based on Collaboration of Multi-Agent

2013 ◽  
Vol 411-414 ◽  
pp. 2684-2693
Author(s):  
Yue E ◽  
Ye Ping Zhu
Keyword(s):  
Decision Making ◽  
Natural Disaster ◽  
Decision Making Process ◽  
Collaborative Decision Making ◽  
Agent Theory ◽  
Emergency Decision Making ◽  
Multi Agent ◽  
Emergency Decision ◽  
Decision Making Model ◽  
Collaborative Decision

Based on the occurrence and evolution of the natural disaster is characteristic of uncertainty and complexity, in this article, Agent theory and technology is applied to emergency decision-making of natural disaster in China, built the disaster emergency collaborative decision-making framework based on multi-agent, design the collaborative decision-making model, discuss the emergency decision-making mechanism based on scenario-response, through effective collaboration based on multi-agent, achieve natural disaster dynamic emergency decision-making process.

Analysis of Knowledge Fusion System Model Based on Ontology and Multi-Agent Theory

2014 ◽  
Vol 989-994 ◽  
pp. 1505-1508
Author(s):  
Li Lei ◽  
Man Zhang
Keyword(s):  
System Model ◽  
Fusion System ◽  
Easy Knowledge ◽  
Agent Theory ◽  
Knowledge Fusion ◽  
Model Based ◽  
Multi Agent ◽  
Effective Use ◽  
Analysis Of Knowledge

Information increase rapidly in recent years which make the effective use of information is not that easy. Knowledge fusion can improve the semantic accuracy and specification of knowledge; it’s a useful way to make the mass disordered information integrated and easy to be recognized for users. The paper proposed a knowledge fusion system model based on ontology and multi-agent theory to meet with the user’ changing needs at any time.

scholarly journals Distributed Formation Control for Multiple Quadrotor Based on Multi-Agent Theory and Disturbance Observer

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Xiaohua Zhang ◽  
Junli Gao ◽  
Wenfeng Zhang ◽  
Tao Zeng ◽  
Liping Ye
Keyword(s):  
Finite Time ◽  
Formation Control ◽  
Control Method ◽  
Homogeneous System ◽  
Lyapunov Theory ◽  
Uncertain Parameters ◽  
External Disturbances ◽  
Agent Theory ◽  
Time Control ◽  
Multi Agent

This paper presents the disturbance observers-based distributed formation control for multiple quadrotor aircrafts with external disturbances and uncertain parameters using multi-agent theory and finite-time control method. Firstly, the finite-time disturbance observers are proposed to handle the external disturbances on the position-loop. Similarly, when there are both the uncertain parameters and external disturbances on the attitude-loop, the finite-time disturbance observers are designed to estimate the total lump disturbances. By skillfully using homogeneous system theory, Lyapunov theory, and multi-agent theory, the distributed formation control algorithms are developed. Finally, through simulations, the efficiency of the proposed method (including the convergence rate and disturbance rejection) is verified.

Study on Intelligent Reconfigurable Automobile Manufacturing System Model

2013 ◽  
Vol 312 ◽  
pp. 460-463
Author(s):  
Jian Bin Wang ◽  
Wei He
Keyword(s):  
Production Management ◽  
Manufacturing System ◽  
System Model ◽  
Multi Agent System ◽  
Automotive Manufacturing ◽  
Agent Model ◽  
Automobile Manufacturing ◽  
Manufacturing Enterprises ◽  
Agent Theory ◽  
Multi Agent

An intelligent reconfigurability model based on multi-agent theory was proposed in this paper to improve feasibility of automotive manufacturing system. Each production management department in automobile manufacturing enterprises was designed as an independent agent. The practicability and rationality of the manufacturing system model was simulated as communication and interactive between different agents in this multi-agent system through JAFMAS. The application of multi-agent model in the design of automobile manufacturing system can promote the reconfigurability and intelligent level of the system.

scholarly journals Ontology Model of a Robotics Agents Community

2011 ◽  
Vol 6 (1) ◽  
pp. 125
Author(s):  
Homero Latorre ◽  
Karina Harispe ◽  
Renato Salinas ◽  
Gastón Lefranc
Keyword(s):  
Ant Community ◽  
Agent Theory ◽  
Cooperative Community ◽  
Ontology Model ◽  
Multi Agent

This paper presents an Ontology Model of necessities and decisions for a cooperative community of heterogeneous robotic agents. Based on an ant community, it defines the characteristics of a collaborative and cooperative community of robots, using multi agent theory where each robot shares information with others robots in the community, to accomplish a common objective.

Remote Intelligent Fault Diagnosis System Modeling Based on Multi-Agent

2012 ◽  
Vol 546-547 ◽  
pp. 1355-1359 ◽  
Author(s):  
Ji Jun Zhang ◽  
Deng Wu Ma ◽  
Geng Fan ◽  
Li Deng
Keyword(s):  
Fault Diagnosis ◽  
System Modeling ◽  
Technology Research ◽  
Intelligent Fault Diagnosis ◽  
Logical Model ◽  
Diagnosis System ◽  
Agent Theory ◽  
Multi Agent ◽  
Fault Diagnosis System ◽  
Soft Architecture

With the development of intelligent fault diagnosis technology, research on the application of multi-Agent theory in the remote fault diagnosis system is increasing. With avionic devices as the application background, the modeling of the remote intelligent fault diagnosis system (RIFDS) based on multi-Agent theory is researched, including the frame model, logical model and soft architecture. The key problems that need to be resolved for the realization of the system are also discussed.

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