Volume 4 Number 4 (Apr. 2009)
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JCP 2009 Vol.4(4): 303-310 ISSN: 1796-203X
doi: 10.4304/jcp.4.4.303-310

Multi-agent Platform and Toolbox for Fault Tolerant Networked Control Systems

M´ario J. G. C. Mendes1, Bruno M. S. Santos2, Jos´e S´a da Costa2
1Instituto Superior de Engenharia de Lisboa, Dept. of Mechanical Engineering, Lisboa, Portugal
2TULisbon, Instituto Superior T´ecnico, Dept. of Mechanical Engineering, Lisboa, Portugal


Abstract—Industrial distributed networked control systems use different communication networks to exchange different critical levels of information. Real-time control, fault diagnosis (FDI) and Fault Tolerant Networked Control (FTNC) systems demand one of the more stringent data exchange in the communication networks of these networked control systems (NCS).
When dealing with large-scale complex NCS, designing FTNC systems is a very difficult task due to the large number of sensors and actuators spatially distributed and network connected. To solve this issue, a FTNC platform and toolbox are presented in this paper using 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.
The multi-agent platform and toolbox for FTNC systems have been built in Matlab/Simulink® environment, which is in our days the scientific benchmark for this kind of research. Although the tests have been performed with a simple case, the results are promising and this approach is expected to succeed with more complex processes.

Index Terms—Networked control systems, Fault-tolerant systems design, Decentralized design, Multi-agent systems, Graph partitioning.

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Cite: M´ario J. G. C. Mendes, Bruno M. S. Santos, Jos´e S´a da Costa, "Multi-agent Platform and Toolbox for Fault Tolerant Networked Control Systems," Journal of Computers vol. 4, no. 4, pp. 303-310, 2009.

General Information

ISSN: 1796-203X
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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