期刊文献+

基于MAS的分布式集成智能控制系统开发与应用 被引量:5

Development and Application of Distributed Integrated Intelligent Control System Based on Multi-Agent System
下载PDF
导出
摘要 针对复杂工业过程,研究一种基于M u lti-A gen t system(M A S)的集成智能控制系统,系统由人机集成单元、控制单元和虚拟仿真单元构成,人机集成单元提供人类智慧与机器相结合有效机制,虚拟仿真单元为控制决策和故障诊断提供仿真信息,控制单元完成系统监视、诊断和控制任务.文中提出了实时A gen t的组织和演化机制,采用遵循F IPA组织标准的开发工具JADE开发原型系统,描述了系统的实现.工程应用表明,提出的集成控制系统能有效地解决焦炉集气管压力这类复杂工业对象的过程控制问题. For the complex process in industry, an integrated intelligent control system based on multiagent system is studied in this paper. The system consists of human system integration unit, virtual simulation unit and control unit. The human system integration unit provides an efficient mechanism to combine the human expert intelligence and intelligence of machine. Virtual simulation environment provides the simulation information for decision-making process and fault diagnosis. Control unit real- izes the monitor, fault diagnosis and control function. The organization and evolution of agents in the system are proposed. The prototype system is developed on the JADE platform which is compliant with the FIPA specifications. The implement of system is described. The real-world application shows that the proposed control structure successfully solves the process control problem of the complex plant such as the collection pressure of coke ovens.
出处 《小型微型计算机系统》 CSCD 北大核心 2006年第7期1405-1408,共4页 Journal of Chinese Computer Systems
基金 国家杰出青年科学基金项目(60425310)资助 湖南教育厅项目(04C718)资助.
关键词 集成智能控制 multi—Agent系统 协调与合作 JADE integrated intelligent control multi-Agent system cooperation and coordination JADE
  • 相关文献

参考文献10

  • 1Rao A S,Georgeff M P.BDI agents:from theory to practice[A].Proceedings of the First International Conference on Multi-Agent Systems[C],San Francisco,CA,1995:312-319.
  • 2Sycara K,Pannu A,Williamson M,Zeng D.Distributed intelligent agents[J].IEEE Expert 1996:11(6):36-46.
  • 3Baumann J,Hohl F,Rothermel K,Straβer M.Mole-concepts of a mobile agent system[J].World Wide Web,1998,1(3):123-137.
  • 4Patil R S,Fikes R E,Patel-Scheneider P F,et al.The DARPA knowledge sharing effort:Progress report[C].Proceedings of the Third Conference on Principles of Knowledge Representation and Reasoning,Cambridge,MA,1992:103-114.
  • 5Milojicic D,Breugst M,Busse I et al,The OMG mobile agent system interoperability facility[A].Proceedings of the 2nd International Workshop of Mobile Agents (MA '98)[C] (Lecture Notes in Computer Science,vol.1477),Rothermel K,Hohl F(eds.).Springer:Stuttgart,1998,50-67.
  • 6Foundation for Intelligent Physical Agents[EB/OL].Specifications.http://www.fipa.org,1999.
  • 7Java Agent Development Framework[EB/OL].http://jade.cselt.it/,1999.
  • 8Jennings N R,Wooldridge M.Agent oriented software engineering[A].Bradshaw J ed Handbook of Agent Technology[M] AAAI/MIT Press,2000.
  • 9Friedman-Hill.Java expert system shell[EB/OL].http://herzberg.ca.sandia.gov/jess,1998.
  • 10秦斌,罗智,刘翔宇,龚韬,王欣.焦炉集气管压力智能控制系统[J].冶金自动化,2002,26(2):50-53. 被引量:5

二级参考文献4

共引文献4

同被引文献41

  • 1蒋兴奇,黄志强.NSK第三代轮毂轴承的开发[J].轴承,2005(4):46-49. 被引量:22
  • 2王伟智,李捷.多路口交通信号的优化控制[J].自动化仪表,2007,28(1):54-56. 被引量:2
  • 3Yang Cunhua,Wu Min,Shen Deyao,et al.Hybrid intelligent control of gas collectors of coke ovens[J].Control Engineering Practice 2001,9(7):725-733.
  • 4Barto A G,Sutton R S,Anderson C W.Neural-like adaptive elements that can solve difficult learning control problem[J].IEEE Trans on Systems,Man,and Cybem,1983.13(5):834 -846.
  • 5Konda V R,Tsitsiklis J N.Actor-critic algorithms[A].Advances in Neural Information Processing Systems[C].CambridgeMA:MIT Press,1999,12(11):1008-1014.
  • 6Berenji H R,Vengerov D.On convergence of fuzzy reinforcement learning[A].In proceedings of the 10th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'01)[C].Melbourne Australia,2001.618-621.
  • 7Juang Chia Feng.A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms[J].IEEE Trans on Fuzzy Systems,2002,10 (2):155 -170.
  • 8Hu Jun ling,Welhaan M P.Multi-gent reinforcement learning:Theoretical framework and an algorithm[A].proceedings of the 15th International Conference of Machme Leaming[C].Madison Wisconsin,1998.115-122.
  • 9Jacobs R A.Increased rates of convergence through learning rate adaptation[J].Neural Networks,1988,1 (4):295-307.
  • 10Kumpati S,Balakrishnan N J.Adaptive control using multiple models[J].IEEE Transactions on Automatic Control,1997,42(2):171-187.

引证文献5

二级引证文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部