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连通环境下联网系统的智能控制与管理问题 被引量：6

INTELLIGENT CONTROL AND MANAGEMENT FOR NETWORKED SYSTEMS IN A CONNECTED WORLD
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摘要 本文提出基于代理控制的方法以解决连通环境下联网系统的智能控制与管理问题。这一方法的基本思想是利用网络资源和移动代理编程技术,将"按需求进行编程"转化为"按需求进行控制",从而实现联网系统的低成本、高性能、高智能的运行和管理。从控制理论的角度来看,这一方法的实质是将控制算法转化为控制代理,将依附于被控系统的被动集中式算法解放为自由于网络系统的主动分散式代理,进而为建立网络时代的新的控制体系提供了一条途径。本文还讨论了"当地简单、远程复杂"的联网系统控制器设计原理和对应的模糊神经元网实现方法。 This paper discusses issues of intelligent control and management of networked systems in a connected world based on agent technology and network connectivity. The basic idea is from 'code on demand' to 'control on demand' , thus achieving low cost but high performance, more intelligence, and strong reliability for networked systems or net appliances. Furthermore, the design principle of 'local simple, remote complex for networked systems is proposed. The work outlined here is the first trial towards a new system for control theory and applications in the era of a connected world.
作者 王飞跃
机构地区 中国科学院自动化研究所复杂系统与智能科学重点实验室
出处 《模式识别与人工智能》 EI CSCD 北大核心 2004年第1期1-6,共6页 Pattern Recognition and Artificial Intelligence
基金 国家自然科学基金委杰出青年研究基金(No.6025310) 重点项目网络控制(No.60334020) 973课题(No.2002CB312204)资助项目
关键词 智能控制 联网系统 连通性 控制算法 集中式控制算法 Networked Systems, Net Appliances, Internet, Connected World, Web-Based Systems, Agent- Based Control, Agent-Based Distributed Control Systems, Intelligent Control
分类号 TP273.5 [自动化与计算机技术—检测技术与自动化装置]
  • 相关文献

参考文献27

  • 1王飞跃 吴朝晖.ASOS：嵌入式系统的发展趋势[J].计算机世界,2000,11.
  • 2王飞跃,黄小池.基于网络的智能家居系统现状和发展趋势[J].家用电器科技,2001(6):56-61. 被引量：20
  • 3Wang Feiyue, Fu P, Modeling and Analysis of Agent-Based Control Systems Using Petri Net Transducers. Program for Advanced Research in Complex Systems Technical Report #12 - 01 - 03, University of Arizona, Tucmn, AZ, 2002.
  • 4Fu P. Modeling and Analysis of Agent-Based Control Systems Using Petri Nets. Phi) Dk, k~ertation, Systems and Industrial Engineering Department, University of Arizona, Tucson, AZ, 2003.
  • 5Loeken N, Fickus W, et al. Services Gateway Software: Bye, Bye Babel. Analyst Report, Pan European Equity, 2001.
  • 6Wang Feiyue. Building Knowledge Structure in Neural Nets Using Fuzzy Logic. In: Jamshidi M, ed. Robotics and Manufacturing: Recent Trends in Research, Education and Applications. New York. NY: American Society of Mechanical Engineers Press,1992, 361-369.
  • 7Wang Feiyue, Kim H. Implementing Adaptive Fuzzy Logic Controllers with Neural Networks: A Design Paradigm. Journal of Intelligent and Fuzzy Systems, 1995, 3(2): 165-180.
  • 8Wang Feiyue. Network-Based Neuro-Fuzzy Control Systems for Smart Consumer Electronic. In: Proc of 5th US-Sino Conference on Science & Technology. Beijing, 1999, 99-105.
  • 9Wang Feiyue, Lin Y T, Huang X C, Wang Z X, Jian S, Wu Q L. Smart Control for Smart Consumer Appliances: A Neuro-Fuzzy-Based Approach. In; Proc of International Appliance Technical Conference. Columbus, Ohio, USA, 2001, 235-240.
  • 10Wang Feiyue, Lin Mingang. Distribution Nets for Modeling and Control of Copper Leaching Processes. System & Industrial Engigineering Working Report # 12 05 - 97, System & Industrial Engineering Department, University of Arizona, Tucson, AZ, 1997.

二级参考文献16

  • 1王飞跃.智能家居中的智能家电：家庭的网络化及其前景.2000年中国家电技术大会报告[M].上海,2000,9..
  • 2王飞跃.OSGi:开放服务网关标准的应用和展望.中美科龙智能控制联合研发中心报告[M].,2000,10..
  • 3王飞跃 吴朝晖.ASOS：嵌入式系统的发展趋势[J].计算机世界,2000,11.
  • 4王飞跃.现代家居信息服务及智能集散控制系统技术研究总结报告.中美科龙智能控制联合研发中心报告[M].,2000,12..
  • 5刘明宽 王飞跃 等.国外智能信息家电的现状与发展趋势[M].,2001,3..
  • 6Wang Feiyue, Kim H M. Implementing Adaptive Fuzzy Logic Controllers with Neural Networks: A Design Paradigm. Journal of Intelligent and Fuzzy Systems, 1995, 3(2): 165- 180.
  • 7Wang Feiyue, Huang Z, Chen D, Lever P. Refinement and Generation of Decision Rules through Training and Augmentation of Neural Networks. International Journal of Intelligent Control and Systems, 1998, 2(3): 329- 360.
  • 8Wang Feiyue, Chen D. Learning Laws for Neural Network Implementation of Fuzzy Control Systems. In: Proc of IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX, 1994, 1083-1088.
  • 9Tang Nan, Wang Feiyue, Cirolliao F. Neuro-Fuzzy Networks:Adaptive Fuzzy Modeling and Control. International Journal of Computer and Information .Science, 2001, 1(1): 1-28.
  • 10Jang J S. ANFIS: Adaptive Network Based Fuzzy Inference Systems. IEEE Trans on Systems, Man, and Cybernetics, 1993,23(3) : 665 - 685.

共引文献25

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引证文献6

二级引证文献107

模式识别与人工智能
2004年 第1期

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