Open Science Research Excellence
@article{(International Science Index):,
  title    = {On Fault Diagnosis of Asynchronous Sequential Machines with Parallel Composition},
  author    = {Jung-Min Yang},
  country   = {Korea, Republic Of},
  institution={Kyungpook National University},
  abstract  = {Fault diagnosis of composite asynchronous sequential
machines with parallel composition is addressed in this paper. An
adversarial input can infiltrate one of two submachines comprising
the composite asynchronous machine, causing an unauthorized state
transition. The objective is to characterize the condition under
which the controller can diagnose any fault occurrence. Two control
configurations, state feedback and output feedback, are considered in
this paper. In the case of output feedback, the exact estimation of
the state is impossible since the current state is inaccessible and the
output feedback is given as the form of burst. A simple example is
provided to demonstrate the proposed methodology.},
  {International Journal of Electrical and Information Engineering },  volume    = {11},
  number    = {9},
  year      = {2017},
  pages     = {997 - 1000},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 129, 2017},