Distributed Fault Detection and Isolation of Large-Scale Discrete-Time Nonlinear Systems: An Adaptive Approximation Approach

@article{Ferrari2012DistributedFD,
  title={Distributed Fault Detection and Isolation of Large-Scale Discrete-Time Nonlinear Systems: An Adaptive Approximation Approach},
  author={Riccardo M. G. Ferrari and Thomas Parisini and Marios M. Polycarpou},
  journal={IEEE Transactions on Automatic Control},
  year={2012},
  volume={57},
  pages={275-290}
}
This paper deals with the problem of designing a distributed fault detection and isolation methodology for nonlinear uncertain large-scale discrete-time dynamical systems. As a divide et impera approach is used to overcome the scalability issues of a centralized implementation, the large scale system being monitored is modelled as the interconnection of several subsystems. The subsystems are allowed to overlap, thus sharing some state components. For each subsystem, a Local Fault Diagnoser is… CONTINUE READING

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