• DocumentCode
    2546258
  • Title

    Multi-agent platform for fault tolerant control systems

  • Author

    Mendes, Mário J G C ; Santos, Bruno M S ; Sa da Costa, Jose

  • Author_Institution
    Polytech. Inst. of Lisbon, Lisbon
  • fYear
    2007
  • fDate
    7-10 Oct. 2007
  • Firstpage
    1321
  • Lastpage
    1326
  • Abstract
    This paper proposes a new multi-agent platform for Fault Tolerant Control (FTC) Systems. Several multi-agent platforms exist to deal with different problems but none of them to deal with control systems tolerant to faults using the Matlab/Simulinkreg environment, which is in our days the scientific bench to this kind of research. When dealing with large-scale complex networked control systems (NCS), designing FTC systems is a very difficult task due to the large number of sensors and actuators spatially distributed and network connected. To solve this issue, the FTC platform presented in this paper uses simple and verifiable principles coming mainly from a decentralized design based on causal modelling partitioning of the NCS and distributed computing using multi- agent systems paradigm, allowing the use of agents with well established FTC methodologies or new ones developed taking into account the NCS specificities.
  • Keywords
    control engineering computing; control system synthesis; decentralised control; distributed control; fault tolerance; large-scale systems; multi-agent systems; FTC system design; causal modelling partitioning; decentralized design; distributed computing; fault tolerant control systems; large-scale complex networked control systems; multiagent platform; Actuators; Automatic control; Collaboration; Communication system control; Control systems; Electrical equipment industry; Fault tolerant systems; Multiagent systems; Networked control systems; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-0990-7
  • Electronic_ISBN
    978-1-4244-0991-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.2007.4413986
  • Filename
    4413986