Using tools from control theory, we study how to estimate the parameters and hidden state variables of the rate-and-state friction model from noisy fault-slip measurements.

A key result is our exploration of identifiability: we show when fault-slip observations contain enough information to uniquely recover the hidden state variables and friction parameters of the rate-and-state friction model.

Read the article: https://onlinelibrary.wiley.com/doi/10.1002/nag.70391

#Geomechanics #FaultMechanics #RateAndStateFriction #InducedSeismicity #ControlTheory #StateEstimation #Identifiability @DavidRiley @DiegoGutierrezOribio @European Research Council (ERC), @ENSTA