Abstract
The influence model constructed to represent the dynamics of networked and interacting Markov chains was described. The steady-state failure distribution for the model could be computed if the state transition matrix for the Markov chain was given. The application of the influence model as a representation for stochastic signals of various kinds was also proposed.
Cite
CITATION STYLE
APA
Asavathiratham, C., Roy, S., Lesieutre, B., & Verghese, G. (2001). The influence model. IEEE Control Systems Magazine, 21(6), 52–64. https://doi.org/10.1109/37.969135
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